Search Results for: algorithms

Recent Metaheuristics Algorithms for Parameter Identification (Studies in Computational Intelligence, 854) 1st ed. 2020 Edition by Erik Cuevas (Author), Jorge Gálvez (Author), Omar Avalos (Author)Requirements: .ePUB reader, 13 MBOverview: This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their […]

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Optimisation Algorithms for Hand Posture Estimation (Algorithms for Intelligent Systems) 1st ed. 2020 Edition by Shahrzad Saremi (Author), Seyedali Mirjalili (Author)Requirements: .PDF reader, 12 MBOverview: This book reviews the literature on hand posture estimation using generative methods, identifying the current gaps, such as sensitivity to hand shapes, sensitivity to a good initial posture, difficult hand […]

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Energy-Efficient Algorithms and Protocols for Wireless Body Sensor Networks 1st ed. 2020 Edition by Rongrong Zhang (Author), Jihong Yu (Author)Requirements: .PDF reader, 3 MBOverview: This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient algorithms and protocols in wireless body sensor networks (WBSNs). These problems addressed […]

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Computational Mathematics, Algorithms, and Data Processing by Daniele Mortari (Editor), Yalchin Efendiev (Editor), Boris Hanin (Editor)Requirements: .PDF reader, 19 MBOverview: “Computational Mathematics, Algorithms, and Data Processing” of MDPI consists of articles on new mathematical tools and numerical methods for computational problems. Topics covered include: numerical stability, interpolation, approximation, complexity, numerical linear algebra, differential equations (ordinary, […]

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Evolutionary Algorithms in Intelligent Systems by Alfredo Milani (Editor), Arturo Carpi (Editor), Valentina Poggioni (Editor)Requirements: .PDF reader, 15 MBOverview: Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical […]

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