Название: Artificial Intelligence in Industry 4.0 and 5G Technology
Автор: Pandian Vasant, Elias Munapo, J. Joshua Thomas
Издательство: Wiley
Год: 2022
Страниц: 355
Язык: английский
Формат: pdf (true), epub
Размер: 21.8 MB

Artificial Intelligence in Industry 4.0 and 5G Technology.

Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors.

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).

Deep Learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear; however, there is a need for research on various applications and techniques of deep learning in the areas of Artificial Intelligence and Machine Learning. Modern methodologies and tools from neuro‐imaging, brain imaging, etc., today generate high‐quality neurophysiological data with a resolution quality never reached before. These accelerating dynamics generate promising pathways to improve our comprehension of the nervous system and eventually of deeper learning. Computational issues occurred because of the high complexity of neuronal systems and the big number of constituents with still unknown connections between them. Highly innovative considerations and methods of computational neuroscience lead to more realistic biophysical representations which provide amazing chances for conditional behavior and links among brain regions in economic, professional, and our daily decision‐making spheres.

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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