As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise.

Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT).

Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks.
Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor.
Provides guidance on implementing metaheuristics in different applications and hybrid technological systems.
Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement.

Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.

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Yes, you can access Artificial Intelligence in Industry 4.0 and 5G Technology by Pandian Vasant,Elias Munapo,J. Joshua Thomas,Gerhard-Wilhelm Weber,Joshua Thomas in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Title Page
Copyright
Contents
List of Contributors
Preface
Profile of Editors
Acknowledgments
Chapter 1 Dynamic Key‐based Biometric End‐User Authentication Proposal for IoT in Industry 4.0
Chapter 2 Decision Support Methodology for Scheduling Orders in Additive Manufacturing
Chapter 3 Significance of Consuming 5G‐Built Artificial Intelligence in Smart Cities
Chapter 4 Neural Network Approach to Segmentation of Economic Infrastructure Objects on High‐Resolution Satellite Images
Chapter 5 The Impact of Data Security on the Internet of Things
Chapter 6 Sustainable Renewable Energy and Waste Management on Weathering Corporate Pollution
Chapter 7 Adam Adaptive Optimization Method for Neural Network Models Regression in Image Recognition Tasks
Chapter 8 Application of Integer Programming in Allocating Energy Resources in Rural Africa
Chapter 9 Feasibility of Drones as the Next Step in Innovative Solution for Emerging Society
Chapter 10 Designing a Distribution Network for a Soda Company: Formulation and Efficient Solution Procedure
Chapter 11 Machine Learning and MCDM Approach to Characterize Student Attrition in Higher Education
Chapter 12 A Concise Review on Recent Optimization and Deep Learning Applications in Blockchain Technology
Chapter 13 Inventory Routing Problem with Fuzzy Demand and Deliveries with Priority
Chapter 14 Comparison of Defuzzification Methods for Project Selection
Chapter 15 Re‐Identification‐Based Models for Multiple Object Tracking
Index
EULA

About this book

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Table of contents