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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

BooksJournals

  • The MIPS Programmer's Handbook

    • 1st Edition
    • Erin Farquhar + 1 more
    • English
    A hands-on view of the highly successful MIPS family of microprocessors, written for programmers developing systems applications for the MIPS platform. The MIPS Programmer's Handbook describes the MIPS architecture from the perspective of assembly- and C-language programmers, with special emphasis on issues related to embedded applications. Engineers writing system-level programs for MIPS-based embedded systems will find the topic selection especially useful including the sections on software conventions, initializing the processor in a bare machine environment, and writing exception handlers. For convenient use, the instruction set reference is presented with only one page per instruction. The authors focus on the instructions available to assembly-language programmers, rather than on the hardware-level instruction set documented in data books released by vendors of the MIPS processor. Provides enough detail for anyone doing serious system-level programming. Also included are ten complete program examples, with line-by-line explanations.

  • The Vector-Valued Maximin

    • 1st Edition
    • Volume 193
    • Slukvadze
    • English

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 87
    • English

  • Mathematical Approaches to Neural Networks

    • 1st Edition
    • Volume 51
    • J.G. Taylor
    • English
    The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing.This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.

  • The Cognitive Psychology of Knowledge

    • 1st Edition
    • Volume 101
    • G. Strube + 1 more
    • English
    The present book is a result of a seven-year (1986-1992) national research program in cognitive science in Germany, presumably the first large scale cognitive science program there. Anchored in psychology, and therefore christened Wissenpsychologie (psychology of knowledge), it has found interdisciplinary resonance, especially in artificial intelligence and education. The research program brought together cognitive scientists from over twenty German universities and more than thirty single projects were funded. The program was initiated by Heinz Mandl and Hans Spada, the main goals of which were to investigate the acquisition of knowledge, the access to knowledge, and the modification and application of knowledge from a psychological perspective. Emphasis was placed on formalisms of knowledge representation and on the processes involved. In many of the projects this was combined with computer simulations. A final but equally important goal was the development of experimental paradigms and methods for data analysis that are especially suited to investigate knowledge based processes.The research program has had a major impact on cognitive psychology in Germany. Research groups were established at many universities and research equipment was provided. It also inspired a considerable number of young scientists to carry out cognitive research, employ modeling techniques from artificial intelligence for psychological theorizing, and construct intelligent tutoring systems for education. Close contacts with cognitive scientists in the U.S. have helped to firmly integrate the program with international research endeavours. Each year, one or two workshops were held. The present volume is the result of the final workshop which was held in September 1992. Selected results from seventeen projects are presented in this book. The volume is enriched by three guest scholars who agreed to participate in the final workshop and to comment on the chapters of the book.

  • Categorization by Humans and Machines

    Advances in Research and Theory
    • 1st Edition
    • English
    The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology.

  • Advances in Computers

    • 1st Edition
    • Volume 37
    • English

  • Intelligent Software for Chemical Analysis

    • 1st Edition
    • Volume 13
    • L.M.C. Buydens + 1 more
    • English
    Various emerging techniques for automating intelligent functions in the laboratory are described in this book. Explanations on how systems work are given and possible application areas are suggested. The main part of the book is devoted to providing data which will enable the reader to develop and test his own systems. The emphasis is on expert systems; however, promising developments such as self-adaptive systems, neural networks and genetic algorithms are also described. The book has been written by chemists with a great deal of practical experience in developing and testing intelligent software, and therefore offers first-hand knowledge. Laboratory staff and managers confronted with commercial intelligent software will find information on the functioning, possibilities and limitations thereof, enabling them to select and use modern software in an optimum fashion. Finally, computer scientists and information scientists will find a wealth of data on the application of contemporary artificial intelligence techniques.

  • Graphics Gems

    • 1st Edition
    • Andrew S. Glassner
    • English
    "The GRAPHICS GEMS Series" was started in 1990 by Andrew Glassner. The vision and purpose of the Series was - and still is - to provide tips, techniques, and algorithms for graphics programmers. All of the gems are written by programmers who work in the field and are motivated by a common desire to share interesting ideas and tools with their colleagues. Each volume provides a new set of innovative solutions to a variety of programming problems.

  • Application of Artificial Intelligence in Process Control

    Lecture Notes Erasmus Intensive Course
    • 1st Edition
    • L. Boullart + 2 more
    • English
    This book is the result of a united effort of six European universities to create an overall course on the appplication of artificial intelligence (AI) in process control. The book includes an introduction to key areas including; knowledge representation, expert, logic, fuzzy logic, neural network, and object oriented-based approaches in AI. Part two covers the application to control engineering, part three: Real-Time Issues, part four: CAD Systems and Expert Systems, part five: Intelligent Control and part six: Supervisory Control, Monitoring and Optimization.

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