This book provides readers to the vision of Society 5.0, which was originally proposed in the fifth Basic Science and Technology Plan by Japan’s government for a technology-based, human-centered society, emerging from the fourth industrial revolution (Industry 4.0). The implementation of AI and other modern techniques in a smart society requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network.

Features

• Provides an overview of basic concepts of Society 5.0 as well as the main pillars that support the implementation of Society 5.0.
• Contains the most recent research analysis in the domain of computer vision, signal processing, and computing sciences for facilitating smart homes, buildings, transport, facilities, environmental conditions and cities, and the benefits these offer to a nation.
• Presents the readers with practical approaches of using AI and other algorithms for smart ecosystem to deals with human dynamics, the social objects, and their relations.
• Deals with the utilization of AI tools and other modern techniques for smart society as well as the current challenging issues and its solutions for transformation to Society 5.0.

This book is aimed at graduate and post graduate students, researchers, academicians working in the field of computer science, artificial intelligence, and machine learning.

This book provides readers to the vision of Society 5.0, which was originally proposed in the fifth Basic Science and Technology Plan by Japan’s government for a technology-based, human-centered society, emerging from the fourth industrial revolution (Industry 4.0). The implementation of AI and other modern techniques in a smart society requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network.

Features

• Provides an overview of basic concepts of Society 5.0 as well as the main pillars that support the implementation of Society 5.0.
• Contains the most recent research analysis in the domain of computer vision, signal processing, and computing sciences for facilitating smart homes, buildings, transport, facilities, environmental conditions and cities, and the benefits these offer to a nation.
• Presents the readers with practical approaches of using AI and other algorithms for smart ecosystem to deals with human dynamics, the social objects, and their relations.
• Deals with the utilization of AI tools and other modern techniques for smart society as well as the current challenging issues and its solutions for transformation to Society 5.0.

This book is aimed at graduate and post graduate students, researchers, academicians working in the field of computer science, artificial intelligence, and machine learning.

This book provides readers to the vision of Society 5.0, which was originally proposed in the fifth Basic Science and Technology Plan by Japan’s government for a technology-based, human-centered society, emerging from the fourth industrial revolution (Industry 4.0). The implementation of AI and other modern techniques in a smart society requires automated data scheduling and analysis using smart applications, a smart infrastructure, smart systems, and a smart network.

Features

• Provides an overview of basic concepts of Society 5.0 as well as the main pillars that support the implementation of Society 5.0.
• Contains the most recent research analysis in the domain of computer vision, signal processing, and computing sciences for facilitating smart homes, buildings, transport, facilities, environmental conditions and cities, and the benefits these offer to a nation.
• Presents the readers with practical approaches of using AI and other algorithms for smart ecosystem to deals with human dynamics, the social objects, and their relations.
• Deals with the utilization of AI tools and other modern techniques for smart society as well as the current challenging issues and its solutions for transformation to Society 5.0.

This book is aimed at graduate and post graduate students, researchers, academicians working in the field of computer science, artificial intelligence, and machine learning.