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Elsevier

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.

  • Advances in Computers

    • 1st Edition
    • Volume 31
    • English

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 79
    • English

  • Formal Models and Semantics

    • 1st Edition
    • Volume B
    • Bozzano G Luisa
    • English
    The second part of this Handbook presents a choice of material on the theory of automata and rewriting systems, the foundations of modern programming languages, logics for program specification and verification, and some chapters on the theoretic modelling of advanced information processing.

  • Introduction to Statistical Pattern Recognition

    • 2nd Edition
    • Keinosuke Fukunaga
    • English
    This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.

  • Embedded Controller Forth For The 8051 Family

    • 1st Edition
    • William H. Payne
    • English
    The purpose of this book is to present the technology requied to develop hardware and software for embedded controller systems at a fraction of the cost of traditional methods. Included in the book are hardware schematics of 8051 family development systems (single board and bussed 8051 microcontroller). Source code for both the 8086 and 805 family FORTH operating systems is published in the book. Binary images of the opeating systems can be generated from teh source code using the metacompiler also contained in the book. The book can be seen as a "toolbox" includingg all the necessary hardware and software information to be used in constructing 8051-based controller systems.

  • Algorithms and Complexity

    • 1st Edition
    • Volume A
    • Bozzano G Luisa
    • English
    This first part presents chapters on models of computation, complexity theory, data structures, and efficient computation in many recognized sub-disciplines of Theoretical Computer Science.

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 78
    • English

  • Advances in Computers

    • 1st Edition
    • Volume 30
    • English

  • Minimalist Mobile Robotics

    • 1st Edition
    • Jonathan H. Connell
    • English
    Rather than using traditional artificial intelligence techniques, which are ineffective when applied to the complexities of real-world robot navigaiton, Connell describes a methodology of reconstructing intelligent robots with distributed, multiagent control systems. After presenting this methodology, hte author describes a complex, robust, and successful application-a mobile robot "can collection machine" which operates in an unmodified offifce environment occupied by moving people.

  • Decentralized A.I

    • 1st Edition
    • Y. Demazeau + 1 more
    • English
    Much research in Artificial Intelligence deals with a single agent having complete control over the world. A variation of this is Distributed AI (DAI), which is concerned with the collaborative solution of global problems by a distributed group of entities. This book deals with Decentralized AI (DzAI), which is concerned with the activity of an autonomous agent in a multi-agent world. The word ``agent'' is used in a broad sense, to designate an intelligent entity acting rationally and intentionally with respect to its goals and the current state of its knowledge. A number of these agents coexist and may collaborate with other agents in a common world; each agent may accomplish its own tasks, or cooperate with other agents to perform a personal or global task. The agents have imperfect knowledge about each other and about their common world, which they can update either through perception of the world, or by communication with each other.The papers were originally presented at a workshop held at King's College, Cambridge, and have been revised for this book.

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