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  • Number Systems for Deep Neural Network Architectures

    Series series Synthesis Collection of Technology (R0)
    This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), ... Leer más

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  • Gmdh-methodology And Implementation In Matlab

    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Leer más

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  • A Guide to Convolutional Neural Networks for Computer Vision

    Series series Synthesis Lectures on Computer Vision
    Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these ... Leer más

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  • Intelligent Systems

    Modeling, Optimization, and Control

    Series series Automation and Control Engineering
    Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems ... Leer más

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  • The Science of Deep Learning

    de Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Leer más

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  • Capturing Connectivity and Causality in Complex Industrial Processes

    Series series Engineering (R0)
    This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms, structural properties and their dynamic behaviour, especially for fault diagnosis and hazard ... Leer más

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  • Intelligent Automation and Computer Engineering

    Edición de Oscar Castillo, He Huang ...
    Series series Engineering (R0)
    A large international conference in Intelligent Automation and Computer Engineering was held in Hong Kong, March 18-20, 2009, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2009). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Automation and Computer Engineering contains 37 revised and extended research ... Leer más

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  • Artificial Neural Networks in Pattern Recognition

    7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for ... Leer más

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  • Approximate Computing Techniques

    From Component- to Application-Level

    Series series Engineering (R0)
    This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance ... Leer más

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  • Cyber Physical Systems. Design, Modeling, and Evaluation

    5th International Workshop, CyPhy 2015, Amsterdam, The Netherlands, October 8, 2015, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 5th International Workshop on Design, Modeling, and Evaluation of Cyber Physical Systems, CyPhy 2015, held as part of ESWeek 2015, in Amsterdam, The Netherlands, in October 2015.The 10 papers presented in this volume were carefully reviewed and selected from 13 submissions. They broadly interpret, from a diverse set of disciplines, the modeling, ... Leer más

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  • Approximate Computing

    Edición de Weiqiang Liu, Fabrizio Lombardi ...
    Series series Computer Science (R0)
    This book explores the technological developments at various levels of abstraction, of the new paradigm of approximate computing. The authors describe in a single-source the state-of-the-art, covering the entire spectrum of research activities in approximate computing, bridging device, circuit, architecture, and system levels. Content includes tutorials, reviews and surveys of current theoretical ... Leer más

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  • Convolutional Neural Networks in Visual Computing

    A Concise Guide

    Series series Data-Enabled Engineering
    This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand ... Leer más

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