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Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making : Artificial Intelligence Applications (Intelligent Data-Driven Systems and Artificial Intelligence)

By: Asaju La’aro Bolaji (Edited by) , Harish Garg (Edited by) , Irfan Ali (Edited by) , Umar Muhammad Modibbo (Edited by)

Manufacture on Demand

Ksh 21,550.00

Format: Hardback or Cased Book

ISBN-10: 1032781114

ISBN-13: 9781032781112

Collection / Series: Intelligent Data-Driven Systems and Artificial Intelligence

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 26th, 2024

Publication Status: Active

Product extent: 216 Pages

Weight: 580.00 grams

Product Classification / Subject(s): Decision theory: general
Calculus & mathematical analysis
Optimization
Mathematical modelling
Electrical engineering

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  • Description

  • Reviews

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility.

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.

This book:

  • Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing
  • Presents a comparative analysis of machine learning algorithms for power consumption prediction
  • Discusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment
  • Illustrates a data-driven optimization concept for modeling environmental and economic sustainability
  • Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals

The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.

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