eBook - Artificial Intelligence in Industry 4.0 and 5G Technology

  • ISBN: 9789373320328
  • 352 pages

Available Exclusively as an eBook | Part of the AI eBook Collection | Only for Institutional Purchase | Publication Year: 2022

Description

The book 'Artificial Intelligence in Industry 4.0 and 5G Technology' explores AI applications and optimization methods in sectors like smart manufacturing, renewable energy, smart cities, and IoT. It presents metaheuristic strategies for solving business and industrial problems, guiding implementation of hybrid AI algorithms, and enhancing decision-making across enterprises with innovative AI technologies.

About the Author

Pandian Vasant is Research Associate at MERLIN Research Centre, TDTU, HCMC, Vietnam and Editor in Chief of International Journal of Energy Optimization and Engineering (IJEOE). Elias Munapo heads the Department of Business Statistics and Operations research at North West University-Mafikeng, South Africa. J. Joshua Thomas is Associate Professor at UOW Malaysia KDU Penang University College working on Deep Learning algorithms, especially Graph Convolutional Neural Networks and Bi-directional Recurrent Neural Networks. Gerhard-Wilhelm Weber is Professor and Chair of Marketing and Economic Engineering at Poznan University of Technology, Poland, and Adjunct Professor at Istinye University, Istanbul, Turkey.

Table of Contents

1 Dynamic Key-based Biometric End-User Authentication Proposal for IoT in Industry 4.0

2 Decision Support Methodology for Scheduling Orders in Additive Manufacturing

3 Significance of Consuming 5G-Built Artificial Intelligence in Smart Cities

4 Neural Network Approach to Segmentation of Economic Infrastructure Objects on High-Resolution Satellite Images

5 The Impact of Data Security on the Internet of Things

6 Sustainable Renewable Energy and Waste Management on Weathering Corporate Pollution

7 Adam Adaptive Optimization Method for Neural Network Models Regression in Image Recognition Tasks

8 Application of Integer Programming in Allocating Energy Resources in Rural Africa

9 Feasibility of Drones as the Next Step in Innovative Solution for Emerging Society

10 Designing a Distribution Network for a Soda Company: Formulation and Efficient Solution Procedure

11 Machine Learning and MCDM Approach to Characterize Student Attrition in Higher Education

12 A Concise Review on Recent Optimization and Deep Learning Applications in Blockchain Technology

13 Inventory Routing Problem with Fuzzy Demand and Deliveries with Priority

14 Comparison of Defuzzification Methods for Project Selection

15 Re-Identification-Based Models for Multiple Object Tracking

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