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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

    • Conformal Prediction for Reliable Machine Learning

      • 1st Edition
      • April 23, 2014
      • Vineeth Balasubramanian + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 3 9 8 5 3 7 8
      • eBook
        9 7 8 0 1 2 4 0 1 7 1 5 3
      The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems.

    • Structural Analysis Systems

      • 1st Edition
      • May 17, 2014
      • A. Niku-Lari
      • English
      • Paperback
        9 7 8 1 4 8 3 1 2 9 7 9 2
      • eBook
        9 7 8 1 4 8 3 1 6 2 2 1 8
      Structural Analysis Systems: Software—Hardware Capability—Compatibi... Volume 3 is a practical guidebook on structural analysis systems and their applications. It provides detailed information about a specific software, its postprocessor capabilities and limitations, computer-aided design connection, and compatibility with the most common computers. Several practical examples from industry with computer and user cost are given. This volume consists of 20 chapters and begins with a description of ALSA, a general purpose finite element computer program for accurate large order structural analysis. The discussion then turns to BEFE, a general purpose program for the static analysis of structures and solids using the finite element method, the boundary element method, or a combination of the two. The following chapters focus on other computer programs such as BEWAVE, CASTEM, FEMFAM, FEMPAC, and OSTIN for applications ranging from finite element analysis to seismic analysis. This book will be a useful resource for practitioners in scientific and industrial disciplines such as mechanical or civil engineering, informatics, applied mathematics, and computer science.

    • Computer Aided Design of Control Systems

      • 1st Edition
      • May 19, 2014
      • M. A. Cuenod
      • English
      • Paperback
        9 7 8 1 4 8 3 1 1 4 4 9 1
      • eBook
        9 7 8 1 4 8 3 1 4 6 9 1 1
      Computer Aided Design of Control Systems focuses on the use of computers to analyze and design the control of various processes, as well as the development of program packages with different algorithms for digital computers. The selection first takes a look at the computer aided design of minimal order controllers, including design of interacting and noninteracting dynamic controllers of minimal order and basic algorithm. The book then discusses an accelerated Newton process to solve Riccati equation through matrix sign function; suboptimal direct digital control of a trickle-bed absorption column; and structural design of large systems employing a geometric approach. The text underscores the computer as an aid for the implementation of advanced control algorithms on physical processes and analysis of direct control algorithms and their parallel realization. Topics include hardware influences on the control, process influence, and interactive structure design of direct control systems. The book also takes a look at the optimal control of randomly sampled linear stochastic systems; computer aided design of suboptimal test signals for system identification; and computer aided design of multi-level systems with prescribed structure and control constraints. The selection is a dependable source of data for readers interested in the uses of computers.

    • Single Neuron Computation

      • 1st Edition
      • May 19, 2014
      • Thomas M. McKenna + 2 more
      • English
      • Paperback
        9 7 8 1 4 9 3 3 0 6 2 0 6
      • eBook
        9 7 8 1 4 8 3 2 9 6 0 6 7
      This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs.The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.

    • Readings in Computer Vision

      • 1st Edition
      • June 28, 2014
      • Martin A. Fischler + 1 more
      • English
      • Paperback
        9 7 8 0 9 3 4 6 1 3 3 3 0
      • eBook
        9 7 8 0 0 8 0 5 1 5 8 1 6
      The field of computer vision combines techniques from physics, mathematics, psychology, artificial intelligence, and computer science to examine how machines might construct meaningful descriptions of their surrounding environment. The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems:Reconstruct... 3D scenes from 2D imagesDecomposing images into their component partsRecognizing and assigning labels to scene objectsDeducing and describing relations among scene objectsDetermining the nature of computer architectures that can support the visual functionRepresenting abstractions in the world of computer memoryMatching stored descriptions to image representationEach chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Two appendices on crucial assumptions in image interpretation and on parallel architectures for vision applications, a glossary of technical terms, and a comprehensive bibliography and index complete the volume.

    • Nature-Inspired Optimization Algorithms

      • 1st Edition
      • February 17, 2014
      • Xin-She Yang
      • English
      • Paperback
        9 7 8 0 1 2 8 1 0 0 6 0 8
      • Hardback
        9 7 8 0 1 2 4 1 6 7 4 3 8
      • eBook
        9 7 8 0 1 2 4 1 6 7 4 5 2
      Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.

    • Knowledge-Based Configuration

      • 1st Edition
      • March 31, 2014
      • Alexander Felfernig + 3 more
      • English
      • Hardback
        9 7 8 0 1 2 4 1 5 8 1 7 7
      • eBook
        9 7 8 0 1 2 4 1 5 8 6 9 6
      Knowledge-based Configuration incorporates knowledge representation formalisms to capture complex product models and reasoning methods to provide intelligent interactive behavior with the user. This book represents the first time that corporate and academic worlds collaborate integrating research and commercial benefits of knowledge-based configuration. Foundational interdisciplinary material is provided for composing models from increasingly complex products and services. Case studies, the latest research, and graphical knowledge representations that increase understanding of knowledge-based configuration provide a toolkit to continue to push the boundaries of what configurators can do and how they enable companies and customers to thrive.

    • Hacking and Penetration Testing with Low Power Devices

      • 1st Edition
      • August 29, 2014
      • Philip Polstra
      • English
      • Paperback
        9 7 8 0 1 2 8 0 0 7 5 1 8
      • eBook
        9 7 8 0 1 2 8 0 0 8 2 4 9
      Hacking and Penetration Testing with Low Power Devices shows you how to perform penetration tests using small, low-powered devices that are easily hidden and may be battery-powered. It shows how to use an army of devices, costing less than you might spend on a laptop, from distances of a mile or more. Hacking and Penetration Testing with Low Power Devices shows how to use devices running a version of The Deck, a full-featured penetration testing and forensics Linux distribution, and can run for days or weeks on batteries due to their low power consumption. Author Philip Polstra shows how to use various configurations, including a device the size of a deck of cards that can easily be attached to the back of a computer. While each device running The Deck is a full-featured pen-testing platform, connecting systems together via 802.15.3 networking gives you even more power and flexibility. This reference teaches you how to construct and power these devices, install operating systems, and fill out your toolbox of small low-power devices with hundreds of tools and scripts from the book's companion website. Hacking and Pen Testing with Low Power Devices puts all these tools into your hands and will help keep you at the top of your game performing cutting-edge pen tests from anywhere in the world!

    • Uncertainty in Artificial Intelligence

      • 1st Edition
      • June 28, 2014
      • Bruce D'Ambrosio + 2 more
      • English
      • eBook
        9 7 8 1 4 8 3 2 9 8 5 6 6
      Uncertainty in Artificial Intelligence: Proceedings of the Seventh Conference (1991) covers the papers presented at the Seventh Conference on Uncertainty in Artificial Intelligence, held on July 13-15, 1991 at the University of California at Los Angeles (UCLA). The book focuses on the processes, technologies, developments, and approaches involved in artificial intelligence. The selection first offers information on combining multiple-valued logics in modular expert systems; constraint propagation with imprecise conditional probabilities; and Bayesian networks applied to therapy monitoring. The text then examines some properties of plausible reasoning; theory refinement on Bayesian networks; combination of upper and lower probabilities; and a probabilistic analysis of marker-passing techniques for plan-recognition. The publication ponders on symbolic probabilistic inference (SPI) with continuous variables, SPI with evidence potential, and local expression languages for probabilistic dependence. Topics include local expression languages for probabilistic knowledge, evidence potential algorithm, symbolic inference with evidence potential, and SPI with continuous variables algorithm. The manuscript also takes a look at the compatibility of quantitative and qualitative representations of belief and a method for integrating utility analysis into an expert system for design evaluation under uncertainty. The selection is a valuable source of data for researchers interested in artificial intelligence.

    • The Small Business Computer Guide

      • 1st Edition
      • June 28, 2014
      • Joseph Beckman
      • English
      • Paperback
        9 7 8 1 5 5 5 5 8 1 3 6 7
      • eBook
        9 7 8 1 4 8 3 2 9 6 0 8 1
      Anyone who needs information about computer systems for small or home businesses will find The Small Business Computer Guide to be an invaluable, thorough review of all aspects of computer systems and technology suited to small businesses.In clear, easy-to-understand language, The Small Business Computer Guide explains hardware components, software, and telecommunications, with an emphasis on productivity, efficiency, and how systems and components can be configured to best serve anindividual business' needs. Consideration is given to budgetary restraints, and Joseph S Beckman offers numerous tips and suggestions on how to put together the right system. Joseph S Beckman is a lawyer in private practice and has spent many yearsusing coputers in his legal work. He lives in Plantation, Florida.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics