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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.

  • Parallel and Distributed Processing

    • 1st Edition
    • K. Boyanov
    • English
    The aim of this volume is to present discussion of the main problems in the theory of parallel and distributed architectures. It covers a wide range of basic topics, most of the papers being theoretical, though some cover application areas with the possibility of direct implementation.

  • Decentralized Control of Complex Systems

    • 1st Edition
    • Volume 184
    • S?iljak
    • English

  • Object Oriented Languages

    • 1st Edition
    • Bozzano G Luisa
    • English
    Object-oriented programming is currently enjoying a large-scale adoption of its techniques and languages both in teaching and in real applications. As a paradigm O-OP has stimulated language-specific books and general introductions bound to one language (for example, Eiffel, Smalltalk, and C++). This book comes from France as the first comparative study of the many languages on offer for object-oriented programming. It introduces a general view of O-OP and follows with an extensive look at the features and advantages of the most common languages. Object Oriented Languages provides a comprehensive introduction to the many diverse aspects of object-oriented programming through a broad tour of currently available object-oriented languages. The text has been designed for teaching an introductory course in the fundamentals of object-oriented programming.

  • Perception and Artistic Style

    • 1st Edition
    • Volume 73
    • D.M. Parker + 1 more
    • English
    Perception and Artistic Style explores the role of visual processes in the creation and perception of painting and drawing. By looking at the relationship between perception and representation evidence is provided that purely visual processes are a richer source of artistic inspiration than is commonly realised. Many of the obvious variations in artistic style are firmly rooted in visual perception and visual cognition. This book looks at a range of fundamental visual processes and investigates their contribution to major stylistic features of works of art. A wide selection of pictures is considered; ancient, medieval, renaissance, nineteenth and twentieth century and primitive, and both well known and relatively obscure works are examined.The volume includes 86 figures, 13 grey-scale illustrations of artworks and 43 line drawings. This book will be of value to students of perception, students of art and art history, and, since the more technical aspects have been confined to the notes, the general reader who wishes to increase his/her appreciation and understanding of pictorial art.

  • Handbook of VLSI Microlithography

    Principles, Technology and Applications
    • 1st Edition
    • William B. Glendinning + 1 more
    • English
    This handbook gives readers a close look at the entire technology of printing very high resolution and high density integrated circuit (IC) patterns into thin resist process transfer coatings-- including optical lithography, electron beam, ion beam, and x-ray lithography. The book's main theme is the special printing process needed to achieve volume high density IC chip production, especially in the Dynamic Random Access Memory (DRAM) industry. The book leads off with a comparison of various lithography methods, covering the three major patterning parameters of line/space, resolution, line edge and pattern feature dimension control. The book's explanation of resist and resist process equipment technology may well be the first practical description of the relationship between the resist process and equipment parameters. The basics of resist technology are completely covered -- including an entire chapter on resist process defectivity and the potential yield limiting effect on device production. Each alternative lithographic technique and testing method is considered and evaluated: basic metrology including optical, scanning-electron-mi... (SEM) techniques and electrical test devices, along with explanations of actual printing tools and their design, construction and performance. The editor devotes an entire chapter to today's sophisticated, complex electron-beam printers, and to the emerging x-ray printing technology now used in high-density CMOS devices. Energetic ion particle printing is a controllable, steerable technology that does not rely on resist, and occupies a final section of the handbook.

  • Formulating Plastics and Elastomers by Computer

    • 1st Edition
    • Ralph D. Hermansen
    • English
    From the Preface: This book is written for those people with an interest in the formulation of plastics and elastomers, and with an interest in applying computer programming to that technical area. This particular double interest is not that uncommon among formulators, because the same kind of challenge and sense of creative accomplishment that makes formulating so enjoyable also applies to computer programming. It is my hope that this book will allow the readers to write useful programs for their own interests, sooner, and with less effort. The methodology presented is the result of my own trial and error attempts over a period of years. Computer programs, which are written to facilitate various formulating steps, can make formulating easier, faster, better, and less expensive. This book discusses how such programs can be written and includes actual source code for the sample programs.

  • Readings in Machine Learning

    • 1st Edition
    • Jude Shavlik + 1 more
    • English
    The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business.Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.

  • Aging and Cognition

    Mental Processes, Self-Awareness and Interventions
    • 1st Edition
    • Volume 72
    • E.A. Lovelace
    • English
    Presented in this volume is a discussion of current literature and theoretical issues relating to three aspects of late-life age-related cognitive change. Firstly, evidence regarding aging and the basic mental processes of attention, motor control, memory, language, problem-solving, and intelligence are presented. Secondly, the role of personal traits such as personality and self-efficacy in the aging of cognitive function are developed, along with self-awareness of cognitive processes and age changes in the monitoring of these processes. Thirdly, consideration is given to the study of interventions to delay or remediate the cognitive declines of aging.

  • Parallelism and Programming in Classifier Systems

    • 1st Edition
    • Stephanie Forrest
    • English
    Parallelism and Programming in Classifier Systems deals with the computational properties of the underlying parallel machine, including computational completeness, programming and representation techniques, and efficiency of algorithms. In particular, efficient classifier system implementations of symbolic data structures and reasoning procedures are presented and analyzed in detail. The book shows how classifier systems can be used to implement a set of useful operations for the classification of knowledge in semantic networks. A subset of the KL-ONE language was chosen to demonstrate these operations. Specifically, the system performs the following tasks: (1) given the KL-ONE description of a particular semantic network, the system produces a set of production rules (classifiers) that represent the network; and (2) given the description of a new term, the system determines the proper location of the new term in the existing network. These two parts of the system are described in detail. The implementation reveals certain computational properties of classifier systems, including completeness, operations that are particularly natural and efficient, and those that are quite awkward. The book shows how high-level symbolic structures can be built up from classifier systems, and it demonstrates that the parallelism of classifier systems can be exploited to implement them efficiently. This is significant since classifier systems must construct large sophisticated models and reason about them if they are to be truly ""intelligent."" Parallel organizations are of interest to many areas of computer science, such as hardware specification, programming language design, configuration of networks of separate machines, and artificial intelligence This book concentrates on a particular type of parallel organization and a particular problem in the area of AI, but the principles that are elucidated are applicable in the wider setting of computer science.

  • Innovative Approaches to Planning, Scheduling and Control

    Proceedings of the 1990 DARPA Workshop
    • 1st Edition
    • DARPA
    • English

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