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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.

  • 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.

  • Advances in Computers

    • 1st Edition
    • Volume 36
    • English

  • Brain Theory

    Spatio-Temporal Aspects of Brain Function
    • 1st Edition
    • A. Aertsen
    • English
    Modern theories of brain function are increasingly concerned with dynamics. The task of organizing perception and behaviour in a meaningful interaction with the external world prompts the brain to recruit its various resources in a properly coordinated manner. Vis-a-vis the complexity and multitude of the dynamics involved, a careful orchestration of the various processing components, distributed over space and time, is essential. Hence, it should come as no surprise that a number of recent developments in both experimental and theoretical brain science have emphasized the aspect of spatio-temporal coordination. This collection of papers intends to capture these various developments in the brain sciences. It brings together new insights and concepts from various branches of experimental and theoretical neuroscience, partly in the form of review chapters, partly in short, focussed contributions, or critical essays. Further it sets out to explore the problems of the processing of the temporal dimension of sensory input and of the generation of space-time patterns in the motor output, as well as the intervening storage and transformation of temporal patterns in nerve nets.The publication is divided into four major sections: the first considers spatio-temporal aspects of brain function in the context of processing of sensory input and perception and the third, spatio-temporal aspects of brain function at the output end: planning and control of movement. The second section is dedicated to the intervening level of neuronal activity in the working brain and the various dynamics observed at different levels of resolution in space and time. The fourth part combines contributions that transcend this scheme.It is hoped the book achieves its goal which is to raise an interest in theoretical models that actively seek confrontation with experimental data from the functioning brain, and by a didactic effort aimed at experimentalists to present their data in a format that makes them more amenable to theory.

  • Three-Dimensional Object Recognition Systems

    • 1st Edition
    • Volume 1
    • Anil K Jain + 1 more
    • English
    The design and construction of three-dimensional [3-D] object recognition systems has long occupied the attention of many computer vision researchers. The variety of systems that have been developed for this task is evidence both of its strong appeal to researchers and its applicability to modern manufacturing, industrial, military, and consumer environments. 3-D object recognition is of interest to scientists and engineers in several different disciplines due to both a desire to endow computers with robust visual capabilities, and the wide applications which would benefit from mature and robust vision systems. However, 3-D object recognition is a very complex problem, and few systems have been developed for actual production use; most existing systems have been developed for experimental use by researchers only. This edited collection of papers summarizes the state of the art in 3-D object recognition using examples of existing 3-D systems developed by leading researchers in the field. While most chapters describe a complete object recognition system, chapters on biological vision, sensing, and early processing are also included. The volume will serve as a valuable reference source for readers who are involved in implementing model-based object recognition systems, stimulating the cross-fertilisation of ideas in the various domains. The variety of topics on Image Communication is so broad that no one can be a specialist in all the topics, and the whole area is beyond the scope of a single volume, while the requirement of up to date information is ever increasing. This new closed-end book series is intended both as a comprehensive reference for those already active in the area of Image Communication, as well as providing newcomers with a foothold for commencing research. Each volume will comprise a state of the art work on the editor's/author's area of expertise, containing information until now scattered in many journals and proceedings.

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 85
    • English

  • Practical Neural Network Recipies in C++

    • 1st Edition
    • Masters
    • English
    This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up.The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included.Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 86
    • English

  • Differential Equations with Applications to Mathematical Physics

    • 1st Edition
    • Volume 192
    • W. F. Ames
    • English

  • KADS

    A Principled Approach to Knowledge-Based System Development
    • 1st Edition
    • English
    KADS is a structured methodology for the development of knowledge based systems which has been adopted throughout the world by academic and industrial professionals alike. KADS approaches development as a modeling activity. Two key characteristics of KADS are the use of multiple models to cope with the complexity of knowledge engineering and the use of knowledge-level descriptions as an immediate model between system design and expertise data. The result is that KADS enables effective KBS construction by building a computational model of desired behavior for a particular problem domain.KADS contains three section: the Theoretical Basis of KADS, Languages and Tools, and Applications. Together they form a comprehensive sourcebook of the how and why of the KADS methodology. KADS will be required reading for all academic and industrial professionals concerned with building knowledge-based systems. It will also be a valuable source for students of knowledge acquisition and KBS.

  • Readings in Groupware and Computer-Supported Cooperative Work

    Assisting Human-Human Collaboration
    • 1st Edition
    • Ronald M. Baecker
    • English
    This comprehensive introduction to the field represents the best of the published literature on groupware and computer-supported cooperative work (CSCW). The papers were chosen for their breadth of coverage of the field, their clarity of expression and presentation, their excellence in terms of technical innovation or behavioral insight, their historical significance, and their utility as sources for further reading. Taken as a whole, the papers and their introductions are a complete sourcebook to the field. This book will be useful for computer professionals involved in the development or purchase of groupware technology as well as for researchers and managers. It should also serve as a valuable text for university courses on CSCW, groupware, and human-computer interaction.

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