Artificial Intelligence of Everything and Sustainable Development

Author:   Hamed Nozari
Publisher:   Springer Nature Switzerland AG
ISBN:  

9789819672011


Pages:   255
Publication Date:   15 July 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Artificial Intelligence of Everything and Sustainable Development


Overview

This book explores the intersection between transformative technologies and sustainable development. In today's world, characterized by diminishing energy sources, declining youth populations, and rapid technological advancements, the need for sustainable practices has never been more pressing. Technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and hybrid technologies have not only revolutionized daily life but also presented new challenges and opportunities. The book presents the concept of ""artificial intelligence of everything,"" highlighting the role of these technologies in driving sustainable, green, and futuristic development. It offers conceptual and quantitative frameworks to enhance understanding and presents insight into their application. Emphasizing the importance of looking beyond the present moment, the book advocates for a future-focused approach to technology, one that prioritizes sustainability in all endeavors. As the world navigates the complexities of the modern era, this book serves as a practical and essential guide. It is designed to help readers navigate the challenges of today's world and embrace sustainable practices that will shape a better future for all.

Full Product Details

Author:   Hamed Nozari
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9789819672011


ISBN 10:   9819672015
Pages:   255
Publication Date:   15 July 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

An introduction to the artificial intelligence of everything: Key dimensions, components and indicators.- Artificial intelligence of everything, in real-world problems.- Sustainable development based on ""artificial intelligence of everything"".- Sustainable cities based on artificial intelligence everything.- Sustainability of business processes based on ""artificial intelligence of everything"".- Data-driven processes and sustainable development.- Energy Efficiency in WSN (Wireless Sensor Network) based on artificial intelligence of everything.- Sustainable smart supply chain based on artificial intelligence of everything.- Super intelligent sustainable marketing systems based on artificial intelligence everything.- AIoE Security Considerations in Super Smart Cities.- Challenges in AIoE-based Sustainable Deployments.- The framework of green and smart production systems in the context of artificial intelligence of everything.- Artificial intelligence of everything in sustainable medical systems.- Sustainable development of the production and distribution processes of fast consuming agricultural products based on artificial intelligence of everything.- AIoE based sustainable financing chain.- Investigating critical success factors for AIoE-based smart sustainable systems.- Modeling and optimization of intelligent networks based on AIoE.- Cross-layer optimization for energy efficiency in the super-smart cities of the future.

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Author Information

Dr. Hamed Nozari is a distinguished researcher and professor specializing in Industrial Engineering and Supply Chain Management, with a strong focus on AI, IoT, and Digital Twin technologies. With over a decade of academic experience, he has authored numerous high-impact papers, books, and conference publications. His expertise spans smart supply chains, multi-objective optimization, and AI-driven decision-making. Passionate about innovation, he continuously explores transformative technologies to bridge the gap between academia and industry.

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