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Digital Image Processing By Jayaraman PDF Book Free Download

Digital Image Processing By Jayaraman PDF Free Download

Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital Image Processing in a pragmatic style. Illustrative approach, practical examples and MATLAB applications given in the book help in bringing theory to life.

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Digital Image Processing By Jayaraman PDF Book Free Download

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Basic Electronics PDF Notes, Books, Course Data and Tutorials

Electronics is the branch of science and engineering that deals with the principles and applications of devices in which electrons are carried in a vacuum, gas or semiconductor. All Devices carry enough Electrons in Shells. Basic Electronics Perseveres to stud essential information about the functionality of electrical instruments. We study conductors, insulators, semiconductors, capacitors, transistors, resistors, diodes and rules and principals of striving for these devices.An electronic component is any physical item during an electronic system managed to have an effect on the electrons or their associated fields in a follow cooperative with the projected performance of the electronic system. parts are usually meant to be connected jointly, typically by being soldered to a computer circuit board (PCB), to get associate electronic circuit together with a selected purpose (for example associate electronic equipment, radio, or oscillator). parts is also prepackaged on an individual basis, or in additional difficult teams as combined circuits. Some common electrical parts are capacitors, inductors, resistors, diodes, transistors, etc. parts area unit usually classified as active (e.g. transistors and thyristors) or passive (e.g. resistors, diodes, inductors and capacitors).

This Outline Will be similar with your University Course Outline for Basic Electronics Subject.

Contents Zero Reference Level, Ohm’s Law, Linear & Non-Linear Resistors, Cells in Series and Parallel. Resistive Circuits. Resistors, Inductors, Capacitors, Energy Sources. Magnetism and Electromagnetism; Theory of Solid State; P- N Junction; Forward Biased P-N Junction; Forward V/I Characteristics; Reverse Biased P-N Junction; Reverse Saturation Current; Reverse V/I  Characteristics, Junction Breakdown, Junction Capacitance. Opto-electronics Devices; Spectral Response of Human Eye; Light Emitting Diode (LED); Photoemission Devices, Photomultiplier Tube, Photovoltaic Devices, Bulk Type Photoconductive Cells, Photodiodes, P-N Junction Photodiode, PIN Photodiode, and Avalanche Photodiode; DC Power Supplies; Rectifiers. Filters, Voltage Multipliers, Silicon Controlled Rectifier SCR; The Basic Transistor; Transistor Biasing, Transistor Circuit Configuration; Modulation and Demodulation; Carrier Waves; Integrated Circuits.Number Systems, Logic Gates, Boolean Algebra, Combination logic circuits and designs, Simplification Methods K-Maps, Quinne, McCluskey,, Flip Flops and Latches, Asynchronous and Synchronous circuits, Counters, Shift Registers, Shift Registers Counters, Triggered devices & its types. Binary Arithmetic and Arithmetic Circuits, Memory Elements, State Machines. Introduction Programmable Logic Devices (CPLD, FPGA); Lab Assignments using tools such as Verilog HDL/VHDL, MultiSim, etc.

Best Recommended Basic Electronics PDF Notes, Books,  Tutorials for Universities:

Here is detailed list of best Basic Electronics Books for Universities: Basic Electronics Solid State by B. L. Theraja Electronic Principles by Albert Paul Malvino Basic Electronics by Bernard Grob Grob basic electronics by Bernard Grob Getting Started in Electronics by Forrest Mims

Free Basic Electronics PDF Notes, Books and Helping Material to Download

Basic Electronics Solid State by B. L. Theraja PDF Book Electronic Principles by Albert Paul Malvino PDF Book Getting Started in Electronics by Forrest Mims PDF Book

Basic Electronics Video Tutorials

Basics of Electronics by ALL ABOUT ELECTRONICS Electronics - Basic Electronics by Dr.Chitralekha Mahanta Electroincs by Niket Shah Plus

Get Access to Basic Electronics Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Basic Electronics Books Check out on Khan Academy for Basic Electronics Helping Material Check out on COURSEA for Basic Electronics Course Check out on Bright Storm for Basic Electronics Tutorials Check out on EDX for Basic Electronics Courses Check out on Big Think for Basic Electronics Content Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Distributed System Books PDF, Notes, Course Data and Tutorials

Distributed computing is a range of computer science that examines distributed systems. A distributed system is a system whose elements are placed on separate networked computers, which then communicate and regulate their activities by giving messages to each other. The elements interact with each other in order to accomplish a mutual goal. Three important properties of distributed systems are concurrency of elements, reduction of a global clock, and autonomous breakdown of components. Models of distributed systems differ from SOA-based systems to massively multiplayer online games to one by other applications. A computer program that works within a distributed system is called a distributed program. There are many various kinds of implementations for the information passing mechanism, including pure HTTP, RPC-like connectors and message files, Distributed computing also applies to the control of distributed systems to resolve computational queries. In distributed computing, a problem is broken into many tasks, each of which is determined by one or more processors, which communicate with each other via communication passing.Goals for managing distributed systems and distributed computing may include: The very essence of an application may want the use of a communication network that combines various computers: for example, data provided in one visible location and required in another location. There are many situations in which the use of a single computer would be pleasant in principle, but the use of a distributed system is helpful for practical purposes. For example, it may be more extra cost-efficient to acquire the desired level of performance by utilizing a cluster of rare low-end computers, in association with a single high-end computer. A distributed system can accommodate more security than a non-distributed system, as there is no particular point of collapse. Moreover, a distributed system may be more comfortable to grow and control than a monolithic uniprocessor system.

This Outline Will be similar with your University Course Outline for Distributed System Subject.

Introduction to Parallel and Distributed Systems, Software Architectures: Threads and Shared memory, Processes and Message passing, Distributed Shared Memory (DSM), Distributed Shared Data (DSD). System Models, Networking and Inter networking, Communication Models and Abstractions (Message passing, stream oriented communications, remote procedure calls, remote method invocation), Naming in Distributed Systems, Concurrency and Synchronization, Process Synchronization, Distributed Transaction and Concurrency Control, Distributed Data Replication, Security and Access Control, Overview of Web Services, Cloud Computing.

Best Recommended Distributed System Books PDF, Tutorials and Notes for Universities:

Here is detailed list of best Data Warehousing Books for Universities: Distributed Systems: Principles and Paradigms, Andrew S. Tanenbaum and Maarten van Steen. Prentice Hall Distributed Systems: Concepts and Design by 4th edition, George Coulouris, Jean Dollimore and Tim Kindberg. Addison-Wesley Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services by Brendan Burns Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

Free Distributed System PDF Notes, Books and Helping Material to Download

Distributed Systems: Principles and Paradigms by Andrew S.. PDF Book Distributed Systems: Concepts and Design by George Coulouris.. PDF BOOK Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services by Brendan Burns PDF Book

Distributed System Video Tutorials

Distributed Systems by Education 4u Distributed Systems by Last Night Study Distributed Systems (Prof. Pallab Dasgupta) by Phoenix Returns

Get Access to Distributed System Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Distributed System Books Check out on Khan Academy for Distributed System Helping Material Check out on COURSEA for Distributed System Course Check out on Bright Storm for Distributed System Tuturials Check out on EDX for Distributed System Courses Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Computer Vision Algorithms and Applications PDF Books, Notes, Course Data and Tutorials

Computer vision is an interdisciplinary field that bargains with whereby computers can be prepared for obtaining high-level perception from digital images or videos. From the view of engineering, it attempts to automate duties that the human visual system can do. Computer vision responsibilities include techniques for acquiring, processing, interpreting and opinion digital images, and uprooting of high-dimensional data from the actual world in order to generate numerical or symbolic information. Belief in this context involves the transformation of visual images into representations of the world that can interface with other thinking processes and obtain appropriate action. This image recognition can be seen as the disentangling of characteristic information from image data using figures created with the aid of geometry, physics, statistics, and learning theory. As a systematic discipline, computer vision is involved with the theory following artificial systems that obtain information from images. The image data can practice various forms, such as video sequences, views from multiple cameras, or multi-dimensional data of a medical scanner. As a technological discipline, computer vision attempts to implement its theories and models for the development of computer vision systems. Sub-domains of computer concept cover scene reconstruction, event discovery, video tracking, object identification, 3D pose estimation, training, indexing, motion evaluation, and image reconstruction.

This Outline Will be similar with your University Course Outline for Computer Vision Algorithms and Applications Subject.

Concepts behind computer-based recognition and extraction of features from raster images. applications of vision systems and their limitations. Overview of early, intermediate and high level vision, region splitting and merging; mean and variance pyramids; Segmentation: limitations of the Hough transform; quadtree structures for segmentation; grouping edge points into straight lines by means of the Hough transform;  computing the first and second derivatives of images using the Sobel and Laplacian operators; parameterisation of conic sections. Perceptual grouping: failure of the Hough transform; perceptual criteria;  grouping line segments into curves. improved Hough transform with perceptual features; 3D vision, Triangulation principle, Stereoscopy.

Best Recommended Computer Vision Algorithms and Applications PDF Books, Notes,  Tutorials for Universities:

Here is detailed list of best Computer Vision Algorithms and Applications Books for Universities: Computer Vision: A Modern Approach By David Forsyth, Jean Ponce Computer Vision, by Linda G. Shapiro, George C. Stockman Handbook of Mathematical Models in Computer Vision, by Nikos Paragios, Yunmei Chen, Olivier Faugeras Computer Vision: Algorithms and Applications by Richard Szeliski

Free Computer Vision Algorithms and Applications PDF Notes, Books and Helping Material to Download

Computer Vision: Algorithms and Applications by Richard Szeliski PDF Book Computer Vision: A Modern Approach By David Forsyth, Jean Ponce PDF Book Computer Vision: A Modern Approach By David Forsyth, Jean Ponce PDF Book

Computer Vision Algorithms and Applications Video Tutorial 

Introduction to Computer Vision by Udacity Computer vision by ADEEL MUHAMMAD Computer vision by Dan M

Get Access to Computer Vision Algorithms and Applications Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Computer Vision Algorithms And Applications Check out on Khan Academy for Computer Vision Algorithms And Applications Helping Material Check out on COURSEA for Computer Vision Algorithms And Applications Course Check out on Bright Storm for Computer Vision Algorithms And Applications Tutorials Check out on EDX for Computer Vision Algorithms And Applications Courses Check out on Big Think for Computer Vision Algorithms And Applications Content Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Distributed System Books PDF, Notes, Course Data and Tutorials

Distributed computing is a range of computer science that examines distributed systems. A distributed system is a system whose elements are placed on separate networked computers, which then communicate and regulate their activities by giving messages to each other. The elements interact with each other in order to accomplish a mutual goal. Three important properties of distributed systems are concurrency of elements, reduction of a global clock, and autonomous breakdown of components. Models of distributed systems differ from SOA-based systems to massively multiplayer online games to one by other applications. A computer program that works within a distributed system is called a distributed program. There are many various kinds of implementations for the information passing mechanism, including pure HTTP, RPC-like connectors and message files, Distributed computing also applies to the control of distributed systems to resolve computational queries. In distributed computing, a problem is broken into many tasks, each of which is determined by one or more processors, which communicate with each other via communication passing.Goals for managing distributed systems and distributed computing may include: The very essence of an application may want the use of a communication network that combines various computers: for example, data provided in one visible location and required in another location. There are many situations in which the use of a single computer would be pleasant in principle, but the use of a distributed system is helpful for practical purposes. For example, it may be more extra cost-efficient to acquire the desired level of performance by utilizing a cluster of rare low-end computers, in association with a single high-end computer. A distributed system can accommodate more security than a non-distributed system, as there is no particular point of collapse. Moreover, a distributed system may be more comfortable to grow and control than a monolithic uniprocessor system.

This Outline Will be similar with your University Course Outline for Distributed System Subject.

Introduction to Parallel and Distributed Systems, Software Architectures: Threads and Shared memory, Processes and Message passing, Distributed Shared Memory (DSM), Distributed Shared Data (DSD). System Models, Networking and Inter networking, Communication Models and Abstractions (Message passing, stream oriented communications, remote procedure calls, remote method invocation), Naming in Distributed Systems, Concurrency and Synchronization, Process Synchronization, Distributed Transaction and Concurrency Control, Distributed Data Replication, Security and Access Control, Overview of Web Services, Cloud Computing.

Best Recommended Distributed System Books PDF, Tutorials and Notes for Universities:

Here is detailed list of best Data Warehousing Books for Universities: Distributed Systems: Principles and Paradigms, Andrew S. Tanenbaum and Maarten van Steen. Prentice Hall Distributed Systems: Concepts and Design by 4th edition, George Coulouris, Jean Dollimore and Tim Kindberg. Addison-Wesley Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services by Brendan Burns Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

Free Distributed System PDF Notes, Books and Helping Material to Download

Distributed Systems: Principles and Paradigms by Andrew S.. PDF Book Distributed Systems: Concepts and Design by George Coulouris.. PDF BOOK Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services by Brendan Burns PDF Book

Distributed System Video Tutorials

Distributed Systems by Education 4u Distributed Systems by Last Night Study Distributed Systems (Prof. Pallab Dasgupta) by Phoenix Returns

Get Access to Distributed System Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Distributed System Books Check out on Khan Academy for Distributed System Helping Material Check out on COURSEA for Distributed System Course Check out on Bright Storm for Distributed System Tuturials Check out on EDX for Distributed System Courses Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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2019's Best Distributed System Books PDF, Notes, Course Data and Tutorials

Distributed computing is a range of computer science that examines distributed systems. A distributed system is a system whose elements are placed on separate networked computers, which then communicate and regulate their activities by giving messages to each other. The elements interact with each other in order to accomplish a mutual goal. Three important properties of distributed systems are concurrency of elements, reduction of a global clock, and autonomous breakdown of components. Models of distributed systems differ from SOA-based systems to massively multiplayer online games to one by other applications. A computer program that works within a distributed system is called a distributed program. There are many various kinds of implementations for the information passing mechanism, including pure HTTP, RPC-like connectors and message files, Distributed computing also applies to the control of distributed systems to resolve computational queries. In distributed computing, a problem is broken into many tasks, each of which is determined by one or more processors, which communicate with each other via communication passing.Goals for managing distributed systems and distributed computing may include: The very essence of an application may want the use of a communication network that combines various computers: for example, data provided in one visible location and required in another location. There are many situations in which the use of a single computer would be pleasant in principle, but the use of a distributed system is helpful for practical purposes. For example, it may be more extra cost-efficient to acquire the desired level of performance by utilizing a cluster of rare low-end computers, in association with a single high-end computer. A distributed system can accommodate more security than a non-distributed system, as there is no particular point of collapse. Moreover, a distributed system may be more comfortable to grow and control than a monolithic uniprocessor system.

This Outline Will be similar with your University Course Outline for Distributed System Subject.

Introduction to Parallel and Distributed Systems, Software Architectures: Threads and Shared memory, Processes and Message passing, Distributed Shared Memory (DSM), Distributed Shared Data (DSD). System Models, Networking and Inter networking, Communication Models and Abstractions (Message passing, stream oriented communications, remote procedure calls, remote method invocation), Naming in Distributed Systems, Concurrency and Synchronization, Process Synchronization, Distributed Transaction and Concurrency Control, Distributed Data Replication, Security and Access Control, Overview of Web Services, Cloud Computing.

Best Recommended Distributed System Books PDF, Tutorials and Notes for Universities:

Here is detailed list of best Data Warehousing Books for Universities: Distributed Systems: Principles and Paradigms, Andrew S. Tanenbaum and Maarten van Steen. Prentice Hall Distributed Systems: Concepts and Design by 4th edition, George Coulouris, Jean Dollimore and Tim Kindberg. Addison-Wesley Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services by Brendan Burns Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

Free Distributed System PDF Notes, Books and Helping Material to Download

Distributed Systems: Principles and Paradigms by Andrew S.. PDF Book Distributed Systems: Concepts and Design by George Coulouris.. PDF BOOK Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services by Brendan Burns PDF Book

Distributed System Video Tutorials

Distributed Systems by Education 4u Distributed Systems by Last Night Study Distributed Systems (Prof. Pallab Dasgupta) by Phoenix Returns

Get Access to Distributed System Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Distributed System Books Check out on Khan Academy for Distributed System Helping Material Check out on COURSEA for Distributed System Course Check out on Bright Storm for Distributed System Tuturials Check out on EDX for Distributed System Courses Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Basic Electronics PDF Notes, Books, Course Data and Tutorials

Electronics is the branch of science and engineering that deals with the principles and applications of devices in which electrons are carried in a vacuum, gas or semiconductor. All Devices carry enough Electrons in Shells. Basic Electronics Perseveres to stud essential information about the functionality of electrical instruments. We study conductors, insulators, semiconductors, capacitors, transistors, resistors, diodes and rules and principals of striving for these devices.An electronic component is any physical item during an electronic system managed to have an effect on the electrons or their associated fields in a follow cooperative with the projected performance of the electronic system. parts are usually meant to be connected jointly, typically by being soldered to a computer circuit board (PCB), to get associate electronic circuit together with a selected purpose (for example associate electronic equipment, radio, or oscillator). parts is also prepackaged on an individual basis, or in additional difficult teams as combined circuits. Some common electrical parts are capacitors, inductors, resistors, diodes, transistors, etc. parts area unit usually classified as active (e.g. transistors and thyristors) or passive (e.g. resistors, diodes, inductors and capacitors).

This Outline Will be similar with your University Course Outline for Basic Electronics Subject.

Contents Zero Reference Level, Ohm’s Law, Linear & Non-Linear Resistors, Cells in Series and Parallel. Resistive Circuits. Resistors, Inductors, Capacitors, Energy Sources. Magnetism and Electromagnetism; Theory of Solid State; P- N Junction; Forward Biased P-N Junction; Forward V/I Characteristics; Reverse Biased P-N Junction; Reverse Saturation Current; Reverse V/I  Characteristics, Junction Breakdown, Junction Capacitance. Opto-electronics Devices; Spectral Response of Human Eye; Light Emitting Diode (LED); Photoemission Devices, Photomultiplier Tube, Photovoltaic Devices, Bulk Type Photoconductive Cells, Photodiodes, P-N Junction Photodiode, PIN Photodiode, and Avalanche Photodiode; DC Power Supplies; Rectifiers. Filters, Voltage Multipliers, Silicon Controlled Rectifier SCR; The Basic Transistor; Transistor Biasing, Transistor Circuit Configuration; Modulation and Demodulation; Carrier Waves; Integrated Circuits.Number Systems, Logic Gates, Boolean Algebra, Combination logic circuits and designs, Simplification Methods K-Maps, Quinne, McCluskey,, Flip Flops and Latches, Asynchronous and Synchronous circuits, Counters, Shift Registers, Shift Registers Counters, Triggered devices & its types. Binary Arithmetic and Arithmetic Circuits, Memory Elements, State Machines. Introduction Programmable Logic Devices (CPLD, FPGA); Lab Assignments using tools such as Verilog HDL/VHDL, MultiSim, etc.

Best Recommended Basic Electronics PDF Notes, Books,  Tutorials for Universities:

Here is detailed list of best Basic Electronics Books for Universities: Basic Electronics Solid State by B. L. Theraja Electronic Principles by Albert Paul Malvino Basic Electronics by Bernard Grob Grob basic electronics by Bernard Grob Getting Started in Electronics by Forrest Mims

Free Basic Electronics PDF Notes, Books and Helping Material to Download

Basic Electronics Solid State by B. L. Theraja PDF Book Electronic Principles by Albert Paul Malvino PDF Book Getting Started in Electronics by Forrest Mims PDF Book

Basic Electronics Video Tutorials

Basics of Electronics by ALL ABOUT ELECTRONICS Electronics - Basic Electronics by Dr.Chitralekha Mahanta Electroincs by Niket Shah Plus

Get Access to Basic Electronics Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Basic Electronics Books Check out on Khan Academy for Basic Electronics Helping Material Check out on COURSEA for Basic Electronics Course Check out on Bright Storm for Basic Electronics Tutorials Check out on EDX for Basic Electronics Courses Check out on Big Think for Basic Electronics Content Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Computer Vision Algorithms and Applications PDF Books, Notes, Course Data and Tutorials

Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems. Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, and image restoration.

This Outline Will be similar with your University Course Outline for Computer Vision Algorithms and Applications Subject.

Concepts behind computer-based recognition and extraction of features from raster images. applications of vision systems and their limitations. Overview of early, intermediate and high level vision, Segmentation: region splitting and merging; quadtree structures for segmentation; mean and variance pyramids; computing the first and second derivatives of images using the Sobel and Laplacian operators; grouping edge points into straight lines by means of the Hough transform; limitations of the Hough transform; parameterisation of conic sections. Perceptual grouping: failure of the Hough transform; perceptual criteria; improved Hough transform with perceptual features; grouping line segments into curves. 3D vision, Triangulation principle, Stereoscopy.

Best Recommended Computer Vision Algorithms and Applications PDF Books, Notes,  Tutorials for Universities:

Here is detailed list of best Computer Vision Algorithms and Applications Books for Universities: Computer Vision: A Modern Approach By David Forsyth, Jean Ponce Computer Vision, by Linda G. Shapiro, George C. Stockman Handbook of Mathematical Models in Computer Vision, by Nikos Paragios, Yunmei Chen, Olivier Faugeras Computer Vision: Algorithms and Applications by Richard Szeliski

Free Computer Vision Algorithms and Applications PDF Notes, Books and Helping Material to Download

Computer Vision: Algorithms and Applications by Richard Szeliski PDF Book Computer Vision: A Modern Approach By David Forsyth, Jean Ponce PDF Book Computer Vision: A Modern Approach By David Forsyth, Jean Ponce PDF Book

Computer Vision Algorithms and Applications Video Tutorial 

Introduction to Computer Vision by Udacity Computer vision by ADEEL MUHAMMAD Computer vision by Dan M

Get Access to Computer Vision Algorithms and Applications Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Computer Vision Algorithms And Applications Check out on Khan Academy for Computer Vision Algorithms And Applications Helping Material Check out on COURSEA for Computer Vision Algorithms And Applications Course Check out on Bright Storm for Computer Vision Algorithms And Applications Tutorials Check out on EDX for Computer Vision Algorithms And Applications Courses Check out on Big Think for Computer Vision Algorithms And Applications Content Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Computer Vision Algorithms and Applications PDF Books, Notes, Course Data and Tutorials

Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems. Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, and image restoration.

This Outline Will be similar with your University Course Outline for Computer Vision Algorithms and Applications Subject.

Concepts behind computer-based recognition and extraction of features from raster images. applications of vision systems and their limitations. Overview of early, intermediate and high level vision, Segmentation: region splitting and merging; quadtree structures for segmentation; mean and variance pyramids; computing the first and second derivatives of images using the Sobel and Laplacian operators; grouping edge points into straight lines by means of the Hough transform; limitations of the Hough transform; parameterisation of conic sections. Perceptual grouping: failure of the Hough transform; perceptual criteria; improved Hough transform with perceptual features; grouping line segments into curves. 3D vision, Triangulation principle, Stereoscopy.

Best Recommended Computer Vision Algorithms and Applications PDF Books, Notes,  Tutorials for Universities:

Here is detailed list of best Computer Vision Algorithms and Applications Books for Universities: Computer Vision: A Modern Approach By David Forsyth, Jean Ponce Computer Vision, by Linda G. Shapiro, George C. Stockman Handbook of Mathematical Models in Computer Vision, by Nikos Paragios, Yunmei Chen, Olivier Faugeras Computer Vision: Algorithms and Applications by Richard Szeliski

Free Computer Vision Algorithms and Applications PDF Notes, Books and Helping Material to Download

Computer Vision: Algorithms and Applications by Richard Szeliski PDF Book Computer Vision: A Modern Approach By David Forsyth, Jean Ponce PDF Book Computer Vision: A Modern Approach By David Forsyth, Jean Ponce PDF Book

Computer Vision Algorithms and Applications Video Tutorial 

Introduction to Computer Vision by Udacity Computer vision by ADEEL MUHAMMAD Computer vision by Dan M

Get Access to Computer Vision Algorithms and Applications Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out more on Amazon for Computer Vision Algorithms And Applications Check out on Khan Academy for Computer Vision Algorithms And Applications Helping Material Check out on COURSEA for Computer Vision Algorithms And Applications Course Check out on Bright Storm for Computer Vision Algorithms And Applications Tutorials Check out on EDX for Computer Vision Algorithms And Applications Courses Check out on Big Think for Computer Vision Algorithms And Applications Content Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Database Management System PDF Notes, Books Course Data and Tutorials

Info is an associate organized assortment of data, typically keep and accessed electronically from a computer system. wherever databases ar additional advanced they’re typically developed exploitation formal style and modeling techniques. The management system (DBMS) is the code that interacts with finish users, applications, and also the data itself to capture and analyze the knowledge. The software code, additionally , encompasses the core facilities provided to administer the data . The summation of the data , the software and also the associated applications is mentioned as a “database system”. typically the term “database” is additionally accustomed loosely ask any of the software systems, the data system or associate application associated with the data . Computer scientists might classify info-management systems keep with the database models that they support. relative databases became dominant within the 19 Eighties. These model information as rows and columns during a series of tables, and also the overwhelming majority use SQL for writing and querying information. within the 2000s, non-relational databases became widespread, mentioned as NoSQL as a results of they use totally different question languages. Formally, a “database” refers to a gaggle of connected information and also the tactic it’s organized. Access to this information is usually provided by a “database management system” (DBMS) consisting of associate integrated set of pc code that permits users to maneuver with one or additional information and provides access to all or any or any or any or any of the knowledge contained within the database (although restrictions might exist that limit access to explicit data). Because of the shut relationship between them, the term “database” is usually used nonchalantly to ask each an info and also the software familiar with manipulate it. Both a info and its software adapt to the principles of a specific info model.

History of database management system

The sizes, capabilities, and performance of databases and their several DBMSs have adult in orders of magnitude. This performance will increase were enabled by the technology progress within the fields of processors, memory devices, memory devices, and pc networks. the event of knowledge technology is split into 3 eras supported information model or structure: direction, SQL/relational, and post-relational. The two main early direction information models were the gradable model and also the CODASYL model (network model) The relative model, 1st planned in 1970 by Edgar F. Codd, departed from this tradition by the appliance that applications need to search for information by content, rather of by following links. The relative model employs sets of ledger-style tables, every used for a special quite entity. solely within the mid-1980s did computing hardware become powerful enough to allow the wide readying of relative systems (DBMSs and applications). By the primary Nineteen Nineties, but, relative systems dominated collectively large-scale processing applications, and as of 2018 they proceed to be dominant: IBM DB2, Oracle, MySQL, and Microsoft SQL The dominant info language, standardized SQL for the relative model, has influenced info languages for various information models Object databases were developed within the 19 Eighties to beat the inconvenience of object-relational electric resistance pair, that diode to the coining of the term “post-relational” and additionally the The next generation of post-relational databases within the late 2000s became named NoSQL databases, introducing quick key-value stores and document-oriented databases.

This Outline Will be similar with your University Course Outline for Database Management System.

Basic database concepts, DB design life cycle, schema architecture, database architecture, Conceptual, L Mapping ERD to relational model, ogical and Physical database modeling and design, Functional Dependencies and Normalization, Relational Algebra, Functional Dependencies and Normalization, Structured Query Language (SQL), Transaction Processing, Concurrencsy Control and Recovery Techniques, Query Optimization Concepts._

Best Recommended Fundamentals of Database Management System PDF Notes and Books in Universities:

Here is detailed list of best Fundamentals of Database Management System books for Universities: database management system A Practical Approach to Design, Implementation and Management by  Thomas Connolly and Carolyn Begg Modern database management system by Fred McFadden, Jeffrey Hoofer , Mary Prescott Database Management System IT series 3rd Edition DBMS pdf book free fundamentals of DBMS DBMS Complete tutorial for beginners Introduction to database management system (Complete) Best DBMS complete tutorial(urdu/hindi)

Get Access to  Paid Introduction to DBMS Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Artificial Neural Network PDF Books, Notes, Course Data and Tutorials

Artificial neural networks systems are computing systems illegally made by the natural neural networks that aggregate animal minds. Such systems study to do tasks by observing models, normally without doing programmed with any task-specific applications. For example, in picture identification, they force study to identify pictures that include cats by studying example images that have been manually defined as cat or no cat and applying the results to recognize cats in other models. They do this without any former knowledge regarding cats. Willingly, they automatically generate recognizing elements from the learning element that they process. An ANN is based on a set of associated parts or joints termed artificial neurons which loosely model the neurons in a biological brain. Each joint, like the synapses in a biological mind, can carry a sign from one artificial neuron to different. An artificial neuron that receives a signal can handle it and then signal added artificial neurons correlated to it.

This Outline Will be similar with your University Course Outline for Artificial Neural Network Subject.

Introduction to cybernetics, Brain and Neural System as Cybernetics, Type of Neural Networks, Static and Dynamic Neural Networks, Neuron Models. Network Architecture and Toplogy, Training and Validation Procedure,  Perceptron, Hamming Network, Feed forward Layer, Recurrent Layer, Perceptron Learning Rule, Proof of Convergence, Signals and Weight Vector Space, Linear Transformation, Performance Surface and Optimization, Hebbian and Widrow-Hoff Learning, Back-propagation and Variations. Associative Learning, Competitive Networks using SOM, Biological Motivation for Vision using Grossberg Network, Adaptive Resonance Theory, Hopfield Network, Cellular Neural Network. Evolutionary Neural Network, Spike Neural Networks, Application of Neural Networks in Signal and Image Processing, Bioinformatics, Telecommunication and High Energy Physics. Quantum Neural Networks.ata warehouse maintenance.

Best Recommended Artificial Neural Network PDF Books, Tutorials and Notes for Universities:

Here is detailed list of best Artificial Neural Networks books for Universities: Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale An Introduction to Neural Networks by James A a Anderson Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Free Artificial Neural Network PDF Notes and Books and Helping Material to Download

Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale PDF Book An Introduction to Neural Networks by James A a Anderson PDF Book Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Artificial Neural Networks (ANN) Video Tutorials

Artificial Neural Networks by Astral1911 Beginner Introduction to Neural Networks by giant_neural_network Artificial neural networks by tuwa kuksy

Get Access to Artificial Neural Networks Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Artificial Neural Network PDF Books, Notes, Course Data and Tutorials

Artificial neural networks systems are computing systems illegally made by the natural neural networks that aggregate animal minds. Such systems study to do tasks by observing models, normally without doing programmed with any task-specific applications. For example, in picture identification, they force study to identify pictures that include cats by studying example images that have been manually defined as cat or no cat and applying the results to recognize cats in other models. They do this without any former knowledge regarding cats. Willingly, they automatically generate recognizing elements from the learning element that they process. An ANN is based on a set of associated parts or joints termed artificial neurons which loosely model the neurons in a biological brain. Each joint, like the synapses in a biological mind, can carry a sign from one artificial neuron to different. An artificial neuron that receives a signal can handle it and then signal added artificial neurons correlated to it.

This Outline Will be similar with your University Course Outline for Artificial Neural Network Subject.

Introduction to cybernetics, Mind and Neural System as Cybernetics, Classes of Neural Networks, Inactive and Active Neural Networks, Neuron Models. Network Construction and Topology, Preparation and Validation Scheme, Competing Networks using SOM, Perceptron, Recurrent Layer, Bioinformatics, Hamming Network, Feedforward Layer, Perceptron Learning Rule, Cellular Neural Network. Evidence of Convergence, Signs and Power Vector Space, Spike Neural Networks, Linear Transformation, Special Surface and Optimization, Hebbian and Widrow-Hoff Learning, Back-propagation and Variations. Associative Learning, Biological Motivation for Revelation using Grossberg Network, Adaptive Reverberation Theory, Hopfield Network, Evolutionary Neural Network, Employment of Neural Networks in Signal and Image Processing, Telecommunication and High Energy Physics. Quantum Neural Networks.

Best Recommended Artificial Neural Network PDF Books, Tutorials and Notes for Universities:

Here is detailed list of best Artificial Neural Networks books for Universities: Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale An Introduction to Neural Networks by James A a Anderson Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Free Artificial Neural Network PDF Notes and Books and Helping Material to Download

Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale PDF Book An Introduction to Neural Networks by James A a Anderson PDF Book Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Artificial Neural Networks (ANN) Video Tutorials

Artificial Neural Networks by Astral1911 Beginner Introduction to Neural Networks by giant_neural_network Artificial neural networks by tuwa kuksy

Get Access to Artificial Neural Networks Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Artificial Neural Network PDF Books, Notes, Course Data and Tutorials

Artificial neural networks systems are computing systems illegally made by the natural neural networks that aggregate animal minds. Such systems study to do tasks by observing models, normally without doing programmed with any task-specific applications. For example, in picture identification, they force study to identify pictures that include cats by studying example images that have been manually defined as cat or no cat and applying the results to recognize cats in other models. They do this without any former knowledge regarding cats. Willingly, they automatically generate recognizing elements from the learning element that they process. An ANN is based on a set of associated parts or joints termed artificial neurons which loosely model the neurons in a biological brain. Each joint, like the synapses in a biological mind, can carry a sign from one artificial neuron to different. An artificial neuron that receives a signal can handle it and then signal added artificial neurons correlated to it.

This Outline Will be similar with your University Course Outline for Artificial Neural Network Subject.

Introduction to cybernetics, Brain and Neural System as Cybernetics, Type of Neural Networks, Static and Dynamic Neural Networks, Neuron Models. Network Architecture and Toplogy, Training and Validation Procedure,  Perceptron, Hamming Network, Feed forward Layer, Recurrent Layer, Perceptron Learning Rule, Proof of Convergence, Signals and Weight Vector Space, Linear Transformation, Performance Surface and Optimization, Hebbian and Widrow-Hoff Learning, Back-propagation and Variations. Associative Learning, Competitive Networks using SOM, Biological Motivation for Vision using Grossberg Network, Adaptive Resonance Theory, Hopfield Network, Cellular Neural Network. Evolutionary Neural Network, Spike Neural Networks, Application of Neural Networks in Signal and Image Processing, Bioinformatics, Telecommunication and High Energy Physics. Quantum Neural Networks.ata warehouse maintenance.

Best Recommended Artificial Neural Network PDF Books, Tutorials and Notes for Universities:

Here is detailed list of best Artificial Neural Networks books for Universities: Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale An Introduction to Neural Networks by James A a Anderson Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Free Artificial Neural Network PDF Notes and Books and Helping Material to Download

Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale PDF Book An Introduction to Neural Networks by James A a Anderson PDF Book Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Artificial Neural Networks (ANN) Video Tutorials

Artificial Neural Networks by Astral1911 Beginner Introduction to Neural Networks by giant_neural_network Artificial neural networks by tuwa kuksy

Get Access to Artificial Neural Networks Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Software Requirement Engineering Books PDF, Notes, Course Data and Tutorials

Requirements engineering introduces to the process of determining, documenting and reporting requirements in the engineering study process. It is a traditional role in systems engineering and software engineering. The first use of the phase specifications engineering was probably in 1964 in the conference paper Maintenance, Maintainability, and System Essentials Engineering  but did not evolve into common use until the late 1990s with the announcement of an Computer Society tutorial, in March 1997, and the business of a discussion group on conditions engineering that has emerged into the current International Requirements Engineering Conference. In the waterfall model, requirements engineering is performed as the initial stage of the development process. Later development methods, including the Rational Unified Process for software, consider that requirements engineering continues by the endurance of a system.The activities included in elements engineering vary widely, depending on the type of system doing developed and the particular practices of the organizations concerned. These may include: Requirements conception or conditions elicitation – Developers and stakeholders meet, the latter are interrogated affecting their needs and wants regarding the software product. Requirements analysis and discussion – Requirements are recognized and conflicts with stakeholders are answered. Both written and graphical tools are strongly used as aids. Examples of written analysis tools: use cases and user stories. Examples of graphical tools: UML and LML. System modeling – Some engineering fields require the product to be entirely designed and modeled before its production or fabrication starts and, therefore, the design stage must be performed in advance. For instance, plans for a structure must be developed before any agreement can be accepted and signed. Many fields might obtain illustrations of the system with the Lifecycle Modeling Language, whereas others, might use UML. Note: In many fields, such as software engineering, most modeling projects are categorized as design activities and not as necessary engineering exercises. Requirements specification – Requirements are documented in a symmetrical artifact called a Requirements Specification, which will become clear only after validation. A RS can include both written and graphical information if required. Requirements validation – Verifying that the documented qualifications and models are compatible and satisfy the requirements of the stakeholder. Only if the final design exceeds the validation process, the RS shifts official. Requirements management – Handling all the exercises linked to the requirements since beginning, controlling as the system is developed and, even till after it is put into use.

This Outline Will be similar with your University Course Outline for Software Requirement Engineering Subject.

The requirement problem Introduction to requirement management Five steps in business analysis Three views of business modeling The challenge of requirement elicitation The features of a product/system Requirements workshop Storyboarding The vision document Use cases Use case specification Activity diagram Link between features and use cases Project scope Requirement management Non-functional requirement Quality measures of software requirements Requirements review Verification Validation

Best Recommended Software Requirement Engineering Books PDF, Tutorials and Notes for Universities:

Here is detailed list of best Software Requirement Engineering Books for Universities: Software Requirements Engineering Handbook by Ralph R. Young.pdf  Requirements Engineering, Publisher: Springer, Editors: Samuel A. Fricker, Christoph Thümmler, Anastasius Gavras Software Requirement Engineering by Sparx Systems & Stephen Maguire

Free Software Requirement Engineering Books PDF, Notes  and Helping Material to Download

The Requirements Engineering Handbook by Ralph R. Young.pdf  Requirements Engineering, Publisher: Springer, Editors: Samuel A. Fricker, Christoph Thümmler, Anastasius Gavras PDF Book Software Requirement Engineering by Sparx Systems & Stephen Maguire

Software Requirement Engineering Video Tutorials

Software Requirement Engineering by Virtual University Software Requirement Engineering  By Enfocus Solutions Software Requirement Engineering By Easy Engineering Classes

Get Access to Software Requirement Engineering, Courses and books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Artificial Neural Network PDF Books, Notes, Course Data and Tutorials

Artificial neural networks or connectionist practices are computing systems uncertainly caused by the biological neural networks that aggregate animal brains. Such systems 'learn' to do assignments by examining patterns, usually without being programmed with any task-specific practices. For example, in image identification, they might study to recognize images that include cats by investigating example images that have been manually specified as cat or no cat and using the results to identify cats in other images. They do this without any prior knowledge about cats, e.g., that they have fur, flags, bristles and cat-like faces. Rather, they automatically create recognizing components from the learning element that they process. An ANN is based on a set of associated units or joints termed artificial neurons which loosely form the neurons in a biological brain. Each joint, like the synapses in a biological mind, can convey a signal from one artificial neuron to different. An artificial neuron that accepts a signal can treat it and then signal additional artificial neurons connected to it.

This Outline Will be similar with your University Course Outline for Artificial Neural Network Subject.

Introduction to cybernetics, Brain and Neural System as Cybernetics, Type of Neural Networks, Static and Dynamic Neural Networks, Neuron Models. Network Architecture and Toplogy, Training and Validation Procedure,  Perceptron, Hamming Network, Feed forward Layer, Recurrent Layer, Perceptron Learning Rule, Proof of Convergence, Signals and Weight Vector Space, Linear Transformation, Performance Surface and Optimization, Hebbian and Widrow-Hoff Learning, Back-propagation and Variations. Associative Learning, Competitive Networks using SOM, Biological Motivation for Vision using Grossberg Network, Adaptive Resonance Theory, Hopfield Network, Cellular Neural Network. Evolutionary Neural Network, Spike Neural Networks, Application of Neural Networks in Signal and Image Processing, Bioinformatics, Telecommunication and High Energy Physics. Quantum Neural Networks.ata warehouse maintenance.

Best Recommended Artificial Neural Network PDF Books, Tutorials and Notes for Universities:

Here is detailed list of best Artificial Neural Networks books for Universities: Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale An Introduction to Neural Networks by James A a Anderson Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Free Artificial Neural Network PDF Notes and Books and Helping Material to Download

Neural Network Design, Martin T. Hagan, Howard B. Demuth, Mark H. Beale PDF Book An Introduction to Neural Networks by James A a Anderson PDF Book Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition by Sandhya Samarasinghe PDF Book

Artificial Neural Networks (ANN) Video Tutorials

Artificial Neural Networks by Astral1911 Beginner Introduction to Neural Networks by giant_neural_network Artificial neural networks by tuwa kuksy

Get Access to Artificial Neural Networks Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Software Requirement Engineering Books PDF, Notes, Course Data and Tutorials

Requirements engineering (RE) refers to the process of defining, documenting and maintaining requirements in the engineering design process. It is a common role in systems engineering and software engineering. The first use of the term requirements engineering was probably in 1964 in the conference paper "Maintenance, Maintainability, and System Requirements Engineering" but did not come into general use until the late 1990s with the publication of an IEEE Computer Society tutorial, in March 1997, and the establishment of a conference series on requirements engineering that has evolved into the current International Requirements Engineering Conference. In the waterfall model, requirements engineering is presented as the first phase of the development process. Later development methods, including the Rational Unified Process (RUP), for software, assume that requirements engineering continues through the lifetime of a system.The activities involved in requirements engineering vary widely, depending on the type of system being developed and the specific practices of the organization(s) involved. These may include: Requirements inception or requirements elicitation – Developers and stakeholders meet, the latter are inquired concerning their needs and wants regarding the software product. Requirements analysis and negotiation – Requirements are identified (including new ones if the development is iterative) and conflicts with stakeholders are solved. Both written and graphical tools (the latter commonly used in the design phase but some find them helpful at this stage, too) are successfully used as aids. Examples of written analysis tools: use cases and user stories. Examples of graphical tools: UML and LML. System modeling – Some engineering fields (or specific situations) require the product to be completely designed and modeled before its construction or fabrication starts and, therefore, the design phase must be performed in advance. For instance, blueprints for a building must be elaborated before any contract can be approved and signed. Many fields might derive models of the system with the Lifecycle Modeling Language, whereas others, might use UML. Note: In many fields, such as software engineering, most modeling activities are classified as design activities and not as requirement engineering activities. Requirements specification – Requirements are documented in a formal artifact called a Requirements Specification (RS), which will become official only after validation. A RS can contain both written and graphical (models) information if necessary. Example: Software requirements specification (SRS). Requirements validation – Checking that the documented requirements and models are consistent and meet the needs of the stakeholder. Only if the final draft passes the validation process, the RS becomes official. Requirements management – Managing all the activities related to the requirements since inception, supervising as the system is developed and, even until after it is put into use (e. g., changes, extensions, etc.)

This Outline Will be similar with your University Course Outline for Software Requirement Engineering Subject.

The requirement problem Introduction to requirement management Five steps in business analysis Three views of business modeling The challenge of requirement elicitation The features of a product/system Requirements workshop Storyboarding The vision document Use cases Use case specification Activity diagram Link between features and use cases Project scope Requirement management Non-functional requirement Quality measures of software requirements Requirements review Verification Validation

Best Recommended Software Requirement Engineering Books PDF, Tutorials and Notes for Universities:

Here is detailed list of best Software Requirement Engineering Books for Universities: Software Requirements Engineering Handbook by Ralph R. Young.pdf  Requirements Engineering, Publisher: Springer, Editors: Samuel A. Fricker, Christoph Thümmler, Anastasius Gavras Software Requirement Engineering by Sparx Systems & Stephen Maguire

Free Software Requirement Engineering Books PDF, Notes  and Helping Material to Download

The Requirements Engineering Handbook by Ralph R. Young.pdf  Requirements Engineering, Publisher: Springer, Editors: Samuel A. Fricker, Christoph Thümmler, Anastasius Gavras PDF Book Software Requirement Engineering by Sparx Systems & Stephen Maguire

Software Requirement Engineering Video Tutorials

Software Requirement Engineering by Virtual University Software Requirement Engineering  By Enfocus Solutions Software Requirement Engineering By Easy Engineering Classes

Get Access to Software Requirement Engineering, Courses and books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article

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Data Warehousing Books PDF, Notes, Course Data and Tutorials

In Compurter Science, a data warehouse is also called as an enterprise data warehouse, is a system utilized for describing and data investigation, and is held a core component of business knowledge. Data Warehouses are convenient repositories of combined data from one or more different origins. They store prevailing and traditional data in one individual place that are utilized for producing analytical descriptions for operators throughout the enterprise The data collected in the warehouse is uploaded from the operational systems. The data may cross through an operational data repository and may need data cleansing for further operations to assure data quality before it is practiced in the Data Warehouse for reporting.

This Outline Will be similar with your University Course Outline for Data Warehousing Subject.

Introduction of the business connection for data warehousing and decision support systems. Differences between TPS and DSS environments. Data extraction, transformation and loading (ETL and ELT), Data warehouse Architecture. Data Marts. Differentiate Data Marts and Data Warehouse. Data Warehouse Design Methodology: De-normalization and Dimensional Modeling. Online analytical processing (OLAP) and data aggregations. Indexing techniques used in data warehousing. Hardware and software systems consideration for data warehousing. Data warehouse maintenance.

Best Recommended Data Warehousing Books PDF, Tutorials and Notes for Universities:

Here is detailed list of best Data Warehousing Books for Universities: Data Warehousing Fundamentals, 2nd Edition, Paulraj Ponniah Building the Data Warehouse, 4th Edition, W. H. Inmon, The Data Warehouse Toolkit, 2nd Edition Ralph Kimball and Margy Ross

Free Data Warehousing PDF Notes, Books and Helping Material to Download

Data Warehousing Fundamentals, 2nd Edition, Paulraj Ponniah PDF Book Building the Data Warehouse, 4th Edition, W. H. Inmon PDF BOOK The Data Warehouse Toolkit, 2nd Edition Ralph Kimball and Margy Ross PDF Book

Data Warehousing Video Tutorials

Data Warehousing Tutorial Videos by Edureka Data Warehousing by VU Tube Data warehouse and data mining by Last Moment Tuitions

Get Access to Data Warehousing Courses and Books exclusive on  Amazon,  Khan Academy, Scribd,   Coursea, Bightthink, EDX and  BrightStorm

Check out on Amazon Store Check out on  Khan Academy Check out on COURSEA Check out on Bright Storm Check out on Edx.com Read and Learn More about on BIGTHINK Get more Details about  Bachelor's Degree Courses Here. These Course contents belong to HEC outline for this specific Subject. If you have any further inquiries, Please Contact US for details via mail. All the data is extracted from HEC official website. The basic purpose for this to find all course subjects data on one page. Read the full article