Topics in Artificial Intelligence Applied to Industry 4.0

Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0

Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies.

The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines.

Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as:

• Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data
• Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations
• Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment
• Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies

Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.

「融合人工智慧和物聯網技術，並應用於工業4.0的前瞻性資源」
《人工智慧應用於工業4.0的主題》探討新興人工智慧和物聯網解決方案在工業4.0中的設計原則、技術和應用，解釋如何透過新興技術改善基礎設施。本書與物聯網、大數據、擴增實境和虛擬實境以及區塊鏈等不同技術建立了明確的聯繫，並提出了安全、隱私、信任和其他問題，同時深入探討了現實世界中的問題和案例研究。

本書採用高度實用的方法，清楚地指出讀者如何通過大幅縮短新產品開發到市場交付的時間，將生產力提高50%。本書還討論了如何節省能源以確保在全球市場中具有競爭力，並在生產產品和服務方面更具反應性，例如投資於靈活的生產線。

《人工智慧應用於工業4.0的主題》由高資歷的作者撰寫，探討了以下範例主題：
- 量子機器學習、神經網絡實現、雲端和數據分析，以有效分析工業數據
- 電腦視覺、新興網絡技術、工業數據空間，以及發展中和發達國家在2030年的工業願景
- 通過新興技術增強工業5.0和智能環境中任何組件的連接的新穎或改進的自然啟發優化算法
- 新技術帶來的農業、醫療、教育、健身、研發以及運輸和通訊等領域的未來職業

本書針對智能製造和智能應用的跨學科領域的研究人員和學生，提供了從現代社會和運營環境的角度來看技術的完美概述。

Mahmoud Ragab AL-Refaey is a Professor of Data Science with the Information Technology Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia and the Mathematics Department, Faculty of Science, Al-Azhar University, Egypt. He obtained his PhD. from the faculty of Mathematics and Natural Sciences of the Christian-Albrechts-University at Kiel (CAU), Germany.

Amit Kumar Tyagi is an Assistant Professor of Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India. Previously he has worked as Assistant Professor (Grade-2) and Senior Researcher at the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, Tamilnadu, India. He received his PhD. Degree in 2018 from Pondicherry Central University, India.

Abdullah Saad AL-Malaise AL-Ghamdi is a Professor of Information Systems Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia and Information Systems Department, School of Engineering, Computing and Design, Dar Al-Hekma University, Jeddah, Saudi Arabia. He is the Secretary General of the Scientific Council at KAU. He received his PhD. degree in Computer Science, George Washington University, USA.

Swetta Kukreja is Associate Professor in the Computer Science and Engineering, Amity University, Mumbai, India. She has more than 10 years of teaching and research experience.

Mahmoud Ragab AL-Refaey 是沙特阿拉伯吉達的國王阿卜杜拉齊茲大學（KAU）計算機與資訊技術學院（FCIT）的資料科學教授，也是埃及阿爾阿茲哈爾大學科學學院數學系的教授。他在德國基爾的基督教-阿爾布雷希茨大學（CAU）數學與自然科學學院獲得博士學位。

Amit Kumar Tyagi 是印度新德里國家時尚技術學院時尚技術系的助理教授。他曾在印度泰米爾納德邦金奈的維特理工學院（VIT）計算機科學與工程學院擔任助理教授（二級）和高級研究員。他於2018年在印度本地治里中央大學獲得博士學位。

Abdullah Saad AL-Malaise AL-Ghamdi 是沙特阿拉伯吉達的國王阿卜杜拉齊茲大學（KAU）計算機與資訊技術學院（FCIT）資訊系統學系的教授，也是沙特阿拉伯傑達達爾哈克瑪大學工程、計算和設計學院資訊系統學系的教授。他是KAU科學委員會的秘書長。他在美國喬治華盛頓大學獲得計算機科學博士學位。

Swetta Kukreja 是印度孟買Amity大學計算機科學與工程學院的副教授。她擁有超過10年的教學和研究經驗。