Ebook for free: Artificial Intelligence

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Artificial Intelligence books collection 170 books

Bayesian networks :
Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy
Learning Bayesian Networks - Neapolitan R. E.

computer vision :
Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu
Computer Vision - Linda Shapiro
Computer Vision 2d ed - Dand h Ballard
Computer Vision A Modern Approach - Forsyth , Ponce
Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne
Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon
Fundamentals of Computer Vision - Mubarak Shah
Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter
Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne
Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne
Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne
Handbook Of Mathematical Models In Computer Vision - Nikos Paragios
Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A
Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun

Evolutionary computation :
Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung
Evolutionary Computation for Modeling and Optimization - Daniel Ashlock
Evolutionary computation, vol.1 basic algorithms and operators - Baeck T., Fogel D.B., Michalewicz Z
Evolutionary computation, vol.2 advanced algorithms and operators - Baeck T., Fogel D.B., Michalewicz Z
FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon
Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann
Genetic programming Complex adaptive systems - Koza J.R.
Genetic Programming Theory and Practice II - John Koza
The Handbook of Evolutionary Computation - Kenneth De Jong

Fuzzy systems :
FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski
Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin
Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang
Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks
Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh
FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN
Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade
FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu
Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence - Jyh-Shing Roger Jang
Simulating Continuous Fuzzy Systems - James J. Buckley

General :
Advances in Applied Artificial Intelligence - John Fulcher
Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi
Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach
Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig
Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit
ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge
Artificial Intelligence Applications and Innovations - Bramer Max
Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton
Artificial Intelligence Through Prolog - Neil C Rowe
Artificial Intelligence Today Recent Trends and Development - Manuela Veloso
Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger
Computational Intelligence An Introduction - Andries P. Engelbrecht
Computational Intelligence For Decision Support - Chen
Computational Intelligence In Control - Masoud Mohammadian
Computational Intelligence in Manufacturing Handbook - Jun Wang
COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh
Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang
Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu
Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes
Intelligent Information Integration for the Semantic Web - Ubbo Visser
Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos
Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss
Practical Artificial Intelligence Programming in Java - Mark Watson
PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko
The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto
The International Dictionary Of Artificial Intelligence - William Raynor

Intelligent Systems :
Hybrid architectures for intelligent systems - Lotfi A. Zadeh
Intelligent Communication Systems - Nobuyoshi Terashima
Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood
Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng

Knowledge representation :
Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral

Knowledge-based systems :
Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev
Building Expert Systems in Prolog - Dennis Merritt
Fuzzy Expert Systems and Fuzzy Reasoning - William Siler
The handbook of applied expert systems - Jay Liebowitz

Machine learning :
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods - Nello Cristianini , John Shawe
Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann
Introduction to Machine Learning - Nils J Nilsson
Machine Learning - Tom Mitchell
Machine Learning And Its Applications - Georgios Paliouras
Machine Learning in Computer Vision - N. SEBE
Machine Learning, Game Play, and Go - David Stoutamire
Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor
PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery
Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto
Statistical Machine Learning For Information Retrieval - Adam Berger

Pattern recognition :
An Introduction to Pattern Recognition - Michael Alder
Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu
Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran
Pattern recognition and image preprocessing 2nd ed -Sing T. Bow
Pattern Recognition in Speech and Language Processing - WU CHOU
Pattern Recognition with Neural Networks in C++ - Abhijit S. Pandya, Robert B. Macy
Statistical Pattern Recognition 2nd Ed - Andrew R. Webb

natural language processing :
Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger
Foundations of Statistical Natural Language Processing - Christopher D. Manning
Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier
Ontological Semantics - Sergei Nirenburg , Victor Raskin
Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition - D

Neural networks :
An Introduction to Neural Networks - Patrick van der Smagt
Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf
Artificial Neural Networks - Colin Fyfe
Artificial Neural Networks in Real-life Applications - Juan R. Rabunal
C++ Neural Networks and Fuzzy Logic - Valluru B. Rao
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin
Kalman Filtering and Neural Networks - Simon Haykin
Machine Learning, Neural And Statistical Classification - Cc Taylor
Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor
Neural Networks - A Comprehensive Foundation - Simon Haykin
Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman
Programming Neural Networks in Java - JeffHeaton
RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain
Recurrent Neural Networks Design And Applications - L.R. Medsker
Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma
The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib

Soft Computing :
Foundations Of Soft Case-based Reasoning - SANKAR K. PAL
Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian
Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman

Swarm Intelligence :
Swarm intelligence - James Kennedy

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Embedded Software

Embedded software is present everywhere from a garage door opener to implanted medical devices to multicore computer systems. This book covers the development and testing of embedded software from many different angles and using different programming languages. Optimization of code, and the testing of that code, are detailed to enable readers to create the best solutions on-time and on-budget. Bringing together the work of leading experts in the field, this a comprehensive reference that every embedded developer will need!

Chapter 1: Basic Embedded Programming Concepts
Chapter 2: Device Drivers
Chapter 3: Embedded Operating Systems
Chapter 4: Networking
Chapter 5: Error Handling and Debugging
Chapter 6: Hardware/Software Co-Verification
Chapter 7: Techniques for Embedded Media Processing
Chapter 8: DSP in Embedded Systems
Chapter 9: Practical Embedded Coding Techniques
Chapter 10: Development Technologies and Trends

*Proven, real-world advice and guidance from such name authors as Tammy Noergard, Jen LaBrosse, and Keith Curtis
*Popular architectures and languages fully discussed
*Gives a comprehensive, detailed overview of the techniques and methodologies for developing effective, efficient embedded software

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Intelligent Systems: Technology and Applications, 6 Vol. Set

Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.

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Robotics

This up-to-date text/reference is designed to present the fundamental principles of robotics with a strong emphasis on engineering applications and industrial solutions based on robotic technology. It can be used by practicing engineers and scientists -- or as a text in standard university courses in robotics. The book has extensive coverage of the major robotic classifications, including Wheeled Mobile Robots, Legged Robots, and the Robotic Manipulator. A central theme is the importance of kinematics to robotic principles. The book is accompanied by a CD-ROM with MATLAB simulations, third party applications, and more. FEATURES +Discusses the major robot classifications including Wheeled Mobile Robots, Legged Robots, and the Robotic Manipulator +Provides an introduction to basic mechanics and electronics; presents mathematical modeling concepts; and performs robotic simulations using MATLAB +Includes extensive coverage of kinematics, integrated throughout the book whenever appropriate +Includes a CD-ROM with demos, MATLAB simulations, and figures.

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Implementing 802.11 with Microcontrollers

This book is intended to provide you with everything you need to know to create and deploy a microcontroller-based 802.11b wireless network. You read it correctly, I did indeed say everything you need to know. I’ve spent the last year being rejected, ignored and hung up on. When I wasn’t being subjected to any of the aforementioned disrespectful acts, I was being lied to, promised to and conveniently forgotten. Some of the folks holding the 802.11b Holy Grail had no scruples and performed all of the despicable acts I’ve mentioned against my person. All of that angst was directed at me (or rather not directed at me) because I wanted to learn how to implement 802.11b in the world of microcontrollers. Well, I have seen the 802.11b light and I am here to spread the word to all in microcontrollerdom. 802.11b communication with inexpensive off-the-shelf microcontrollers

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Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications

Cutting-edge developments in artificial intelligence are now driving applications that are only hinting at the level of value they will soon contribute to organizations, consumers, and societies across all domains.

Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms. This comprehensive collection provides libraries with a one-stop resource to equip the academic, industrial, and managerial communities with an in-depth look into the most pertinent AI advances that will lead to the most valuable applications.

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Embedded Hardware Know It All

Embedded Hardware Know It All
Jack Ganssle, Tammy Noergaard, Fred Eady etal| Newnes| ISBN-10 : 0750685840| Pages : 456| PDF

Contents:
CHAPTER 1: Embedded Hardware Basics
CHAPTER 2: Logic Circuits
CHAPTER 3: Embedded Processors
CHAPTER 4: Embedded Board Buses and I/O
CHAPTER 5: Memory Systems
CHAPTER 6: Timing Analysis in Embedded Systems
CHAPTER 7: Chooosing a Microcontroller and Other Design Decisions
CHAPTER 8: The Essence of Microcontroller Networking: RS-232
CHAPTER 9: Interfacing to Sensors and Actuators
CHAPTER 10: Other Useful Hardware Design Tips and Techniques
APPENDIX A: Schematic Symbols
APPENDIX B: Acronyms and Abbreviations
APPENDIX C: PC Board Design Issues

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Artificial Intelligence for Maximizing Content Based Image Retrieval (Premier Reference Source)

Zongmin Ma, "Artificial Intelligence for Maximizing Content Based Image Retrieval (Premier Reference Source)"
Information Science Reference | 2008-11-26 | ISBN: 1605661740 | 450 pages | PDF | 12,3 MB

The increasing trend of multimedia data use is likely to accelerate creating an urgent need of providing a clear means of capturing, storing, indexing, retrieving, analyzing, and summarizing data through image data.

Artificial Intelligence for Maximizing Content Based Image Retrieval discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field. Providing state-of-the-art research from leading international experts, this book offers a theoretical perspective and practical solutions for academicians, researchers, and industry practitioners.

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Brain, Vision and AI

The aim of this book is to provide new ideas, original results and practical experiences regarding service robotics. This book provides only a small example of this research activity, but it covers a great deal of what has been done in the field recently. Furthermore, it works as a valuable resource for researchers interested in this field.

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Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers

This comprehensive textbook provides a broad and in-depth overview of embedded systems architecture for engineering students and embedded systems professionals. The book is well suited for undergraduate embedded systems courses in electronics/electrical engineering and engineering technology (EET) departments in universities and colleges, as well as for corporate training of employees.

The book is a readable and practical guide covering embedded hardware, firmware, and applications. It clarifies all concepts with references to current embedded technology as it exists in the industry today, including many diagrams and applicable computer code. Among the topics covered in detail are:
· hardware components, including processors, memory, buses, and I/O
· system software, including device drivers and operating systems
· use of assembly language and high-level languages such as C and Java
· interfacing and networking
· case studies of real-world embedded designs
· applicable standards grouped by system application

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Embedded Systems: Desktop Integration (Wordware Applications Library)</

Embedded Systems: Desktop Integration (Wordware Applications Library)
400 pages | Wordware Publishing, Inc.; illustrated edition edition (June 25, 2005) | 1556229941 | PDF | 5 Mb

Embedded Systems: Desktop Integration explores designing embedded systems and monitoring and controlling them from desktop systems. Through the step-by-step development of an embedded thermostat, readers learn how to implement three different hardware interfaces: RS-232, USB, and Ethernet. Several different components are used to provide the reader with alternative hardware solutions.

Additionally, three different types of microcontrollers are used to implement the intelligence in the thermostat: the BASIC Stamp, the dsPIC, and the Cypress PSoC. Monitor and control software is developed for Windows, Linux, and the BSD operating Systems. Several cross-platform tools are explored including wxWindows, Borland Delphi and Kylix, and C++BuilderX, and there is even a section on how to make your own printed circuit boards.

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Computer Embedded Software

Perspectives: How Viable Is Digital Rights Management? Seong Oun Hwang
Technologies that aim to protect digital content have fallen short of their mission. The computing community must find ways to make protection schemes interoperable and adopt a use model that lifts restrictions on paid-for protected content.

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Artificial Intelligence: A Systems Approach

M. Tim Jones, "Artificial Intelligence: A Systems Approach "
Chapman | 2007 | ISBN: 0977858235 | 500 pages | PDF | 6,5 MB

This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more.

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Human Computer Interaction

This book introduces basic research, advanced developments and applications. The book covers topics such as modeling and practical realization of robotic control for different applications, researching of the problems of stability and robustness, automation in algorithm and program developments with application in speech signal processing and linguistic research, system's applied control, computations, and control theory application in mechanics and electronics.

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Embedded Systems and Computer Architecture

The author has taught the design and use of microprocessor systems to undergraduate and technician level students for over 25 years.

*A core text for academic modules on microprocessors, embedded systems and computer architecture
*A practical design-orientated approach

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Embedded Software

Jean J. Labrosse, Jack Ganssle, Robert Oshana, Colin Walls, Keith E. Curtis, "Embedded Software"
Newnes | 2007 | ISBN: 0750685832 | 792 pages | PDF | 8,2 MB

Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems

In the last decade there has been a phenomenal growth in interest in crime pattern analysis. Geographic information systems are now widely used in urban police agencies throughout industrial nations. With this, scholarly interest in understanding crime patterns has grown considerably.

Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems discusses leading research on the use of computer simulation of crime patterns to reveal hidden processes of urban crimes, taking an interdisciplinary approach by combining criminology, computer simulation, and geographic information systems into one comprehensive resource.

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