Computational science and engineering :: selected, peer reviewed papes from the Third International Conference on Computational Science and Engineering (ICCSE2018), August 29-30, 2018, Kota Kinabalu, Sabah, Malaysia /

This book is the proceedings of the Third International Conference on Computational Science and Engineering (ICCSE2018, August 29-30, 2018, Kota Kinabalu, Sabah, Malaysia) and contains the selected peer-reviewed papers which reflect recent achievements in the field of application of the computationa...

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Bibliographic Details
Corporate Author: IEEE International Conference on Computational Science and Engineering Kota Kinabalu, Malaysia
Other Authors: Alfred, Rayner (Editor)
Format: Electronic Conference Proceeding eBook
Language:English
Published: Zurich, Switzerland : Trans Tech Publications Ltd., [2019]
Series:Applied mechanics and materials ; v. 892.
Subjects:
Online Access:DE-862
DE-863
Summary:This book is the proceedings of the Third International Conference on Computational Science and Engineering (ICCSE2018, August 29-30, 2018, Kota Kinabalu, Sabah, Malaysia) and contains the selected peer-reviewed papers which reflect recent achievements in the field of application of the computational methods and algorithms in scientific research and engineering design. We hope that this volume of the journal will be useful, interesting and informative for a wide range of scientists, engineers, and students. Density Functional Theory, Computational Materials Science, Computer-Aided Design, Genetic Algorithm, Swarm Optimization, Metadata, Data Acquisition, Data Mining, Data Distribution, Dataset, Database, Image Segmentation, Image Recognition, Principal Component Analysis, Computational Modeling, Computational Experiment, Probability Distribution Function, Project Management, Artificial Neural Network, Fuzzy Logic, Gamification, Games Theory, Adaptive Behaviour Scale, Decision Support System, Fuzzy Multiple Attribute Decision Making, Operational Research, Machine Learning, Support Vector Regression, Auto-Regression Model, Software Engineering, Information System, Runge-Kutta Method, Digital Signature Materials Science, General Engineering, Manufacturing.
Physical Description:1 online resource : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9783035734010
3035734011
ISSN:1660-9336 ;

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