Data Analysis and Optimization for Engineering and Computing Problems: Proceedings of the 3rd EAI International Conference on Computer Science and Eng
商品資訊
ISBN13:9783030481513
出版社:Springer Nature
作者:Pandian Vasant(EDI)
出版日:2021/09/10
裝訂:平裝
規格:23.4cm*15.6cm*1.6cm (高/寬/厚)
定價
:NT$ 9859 元若需訂購本書,請電洽客服 02-25006600[分機130、131]。
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商品簡介
Introduction.- PART I: Heuristic Design and Optimization.- A new heuristic based on a parallel implementation of Firefly Algorithm.- A new approach of the Rain-fall Optimization Algorithm using parallelization.- Algorithm to detect and calculate the cerebrospinal fluid through Magnetic Resonance Imaging.- PART II: Mixed-Integer Programming and Global Optimization.- Backbone distribution network design for the Mexican automotive industry.- A hybrid model for improving the performance of basketball lineups.- Location of Bases for Pre-Hospital Services.- Balance layout problem with the optimized distances between objects.- Optimized Packing of Object Clusters with Balancing Conditions.- PART III: Simulation and Distributed Systems.- Didactic Tool for Teaching Election Algorithms in Distributed Systems.- Evaluation of the feasibility of implementing industry 4.0 technologies in the intralogistics processes of the Logistics Operators of the Department of the Atlantic, a look towards the continuous improvement of organizational efficiency.- Secure Key Distribution Prototype based on Kerberos.- A decision-making approach using Fuzzy Logic and ANFIS: A retail study case.- PART IV: Renewable Energies.- Development of renewable energy resources in global energy interconnection.- PART V: Information Technologies.- Main Metric Components in the generation of mixed indicators.- SMOTE-Cov: A new over-sampling method based on the Covariance Matrix.- A Sentiment Analysis Method for Analyzing Users Opinions about Drugs for Chronic Diseases.- Proofs of the Undecidability of Stegananalysis Techniques.- Vulnerability of Network Coding under Pollution Attacks.- Stream cipher Hadamard transform cryptanalysis.- A Comparison of Speech-to-Speech Neural Network Methodologies for Digit Pronunciation.- Conclusion.
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