Yang Xin She

Bayesian Inference in the Social Sciences  eBooks & eLearning

Posted by DZ123 at June 2, 2019
Bayesian Inference in the Social Sciences

Ivan Jeliazkov, Xin-She Yang, "Bayesian Inference in the Social Sciences"
English | 2014 | ISBN: 1118771214 | PDF | pages: 352 | 16.4 mb

Mathematical Foundations of Nature-Inspired Algorithms  eBooks & eLearning

Posted by nebulae at May 8, 2019
Mathematical Foundations of Nature-Inspired Algorithms

Xin-She Yang, "Mathematical Foundations of Nature-Inspired Algorithms "
English | ISBN: 3030169359 | 2019 | 107 pages | EPUB, PDF | 3 MB + 2 MB

Nature-Inspired Computation in Engineering (Studies in Computational Intelligence) [Repost]  eBooks & eLearning

Posted by Free butterfly at July 2, 2019
Nature-Inspired Computation in Engineering (Studies in Computational Intelligence) [Repost]

Nature-Inspired Computation in Engineering (Studies in Computational Intelligence) by Xin-She Yang
English | March 20, 2016 | ISBN: 3319302337 | 276 pages | PDF | 5.20 Mb

Mathematical Modeling with Multidisciplinary Applications  eBooks & eLearning

Posted by DZ123 at June 29, 2019
Mathematical Modeling with Multidisciplinary Applications

Xin-She Yang, "Mathematical Modeling with Multidisciplinary Applications"
English | 2013 | ISBN: 1118294416 | PDF | pages: 576 | 12.9 mb

Engineering Optimization: An Introduction with Metaheuristic Applications  eBooks & eLearning

Posted by AvaxGenius at Oct. 10, 2022
Engineering Optimization: An Introduction with Metaheuristic Applications

Engineering Optimization: An Introduction with Metaheuristic Applications by Xin-She Yang
English | PDF | 2010 | 358 Pages | ISBN : 0470582464 | 27.85 MB

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms.
Solving Computationally Expensive Engineering Problems: Methods and Applications

Slawomir Koziel, Leifur Leifsson, Xin-She Yang, "Solving Computationally Expensive Engineering Problems: Methods and Applications"
English | 2014 | ISBN: 3319089846 | PDF | pages: 339 | 11.7 mb
Third International Congress on Information and Communication Technology: ICICT 2018, London (Repost)

Third International Congress on Information and Communication Technology: ICICT 2018, London by Xin-She Yang
English | PDF | 2018 (2019 Edition) | 968 Pages | ISBN : 9811311641 | 30.96 MB

The book includes selected high-quality research papers presented at the Third International Congress on Information and Communication Technology held at Brunel University, London on February 27–28, 2018. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IOT), and e-mining. Written by experts and researchers working on ICT, the book is suitable for new researchers involved in advanced studies.

Nature-Inspired Computation in Data Mining and Machine Learning  eBooks & eLearning

Posted by arundhati at Sept. 5, 2019
Nature-Inspired Computation in Data Mining and Machine Learning

Xin-She Yang, "Nature-Inspired Computation in Data Mining and Machine Learning "
English | ISBN: 3030285529 | 2020 | 273 pages | PDF | 8 MB
Proceedings of Ninth International Congress on Information and Communication Technology: ICICT 2024, London, Volume 1

Proceedings of Ninth International Congress on Information and Communication Technology: ICICT 2024, London, Volume 1 by Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
English | PDF EPUB (True) | 2024 | 359 Pages | ISBN : 9819745802 | 57.1 MB

This open access book gathers selected high-quality research papers presented at the Ninth International Congress on Information and Communication Technology, held at Brunel University, London, on February 19–22, 2024. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers working on ICT, the book offers an asset for young researchers involved in advanced studies. The work is presented in ten volumes.

Evolution in Computational Intelligence (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 30, 2024
Evolution in Computational Intelligence (Repost)

Evolution in Computational Intelligence: Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023) by Vikrant Bhateja, Xin-She Yang, Marta Campos Ferreira, Sandeep Singh Sengar, Carlos M. Travieso-Gonzalez
English | EPUB (True) | 2024 | 678 Pages | ISBN : 9819967015 | 117.6 MB

The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.