Edge AI for Industry 5.0 and Healthcare 5.0 Applications
暫譯: 工業5.0與醫療5.0應用的邊緣人工智慧
Raj, Pethuru, Sundaravadivazhagan, B., Raja, A. Saleem
- 出版商: Auerbach Publication
- 出版日期: 2025-03-30
- 售價: $7,460
- 貴賓價: 9.5 折 $7,087
- 語言: 英文
- 頁數: 320
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032577940
- ISBN-13: 9781032577944
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相關分類:
人工智慧
海外代購書籍(需單獨結帳)
商品描述
Edge AI is the seamless and spontaneous combination of Edge or Fog computing and AI. It enables acquiring real-time insights, which, in turn, leads to the realization of real-time, people-centric, event-driven, business-critical, process-aware, and knowledge-filled software services and applications.
Edge AI for Industry 5.0 and Healthcare 5.0 Applications looks at the unique contributions of Edge AI for developing solutions for Industry 5.0 and Healthcare 5.0. It explains how Industry 5.0 fine tunes the human-machine connection and leverages tiny, high-performance AI-centric processors in IoT edge devices for real-time decision-making and application processing.
Focusing on Explainable AI (XAI), the book discusses:
- The role of XAI in Healthcare 5.0
- Best practices, challenges, and opportunities of applying XAI in healthcare setting
- How to enhance transparency and trust of XAI in Healthcare 5.0
- XAI and its methods in predicting healthcare outcomes
Other highlights of the book include:
- 5G communication networks requirements
- The fusion of IoT, AI, Edge, Cloud, and blockchain
- Trustworthiness of blockchain technology in healthcare 5.0 and Industry 5.0
- The future of trust and the potential of blockchain technology
By explaining how Edge AI can transform healthcare and industry, this book empowers researchers and professionals to envisage and implement sophisticated and smart digital solutions.
商品描述(中文翻譯)
邊緣人工智慧(Edge AI)是邊緣或霧計算(Fog computing)與人工智慧(AI)無縫且自發的結合。它使得獲取即時洞察成為可能,進而實現以人為中心、事件驅動、業務關鍵、過程感知和知識豐富的即時軟體服務和應用程式。
《邊緣人工智慧在工業5.0和醫療5.0應用中的角色》探討了邊緣人工智慧在開發工業5.0和醫療5.0解決方案中的獨特貢獻。它解釋了工業5.0如何微調人機連接,並利用微型、高效能的以AI為中心的處理器在物聯網(IoT)邊緣設備中進行即時決策和應用處理。
本書專注於可解釋的人工智慧(Explainable AI, XAI),討論了:
- XAI在醫療5.0中的角色
- 在醫療環境中應用XAI的最佳實踐、挑戰和機會
- 如何增強醫療5.0中XAI的透明度和信任
- XAI及其在預測醫療結果中的方法
本書的其他亮點包括:
- 5G通信網路的需求
- 物聯網、人工智慧、邊緣計算、雲端和區塊鏈的融合
- 區塊鏈技術在醫療5.0和工業5.0中的可信度
- 信任的未來及區塊鏈技術的潛力
通過解釋邊緣人工智慧如何改變醫療和工業,本書使研究人員和專業人士能夠設想並實施複雜且智能的數位解決方案。
作者簡介
Pethuru Raj is a chief architect at Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously. worked in IBM global Cloud centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). He has more than 22 years of IT industry experience and 8 years of research experience.
B. Sundaravadivazhagan obtained PhD in computer science from Anna University, Chennai India. Currently, he is a faculty member of the Department of Information Technology at the University of Technology and Applied Science-AL Mussanah in Oman He has professional memberships in ISACA and ISTE and is a senior member of IEEE. His academic and research background spans more than 21 years at many institutions.
Saleem Raja is an associate professor in the department of information technology at the Shinas University of Technology and Applied Sciences in the Sultanate of Oman. He obtained a Ph.D. in 2017 in the general field of data mining as well as my M.Tech. in information technology from Bharathidasan University in Tamil Nadu, India. He has published more than 25 research papers published in national and international journals, conferences, and book chapters.
Mohammed M. Alani holds a PhD in Computer Engineering with specialization in network security. He has worked as a professor, and a cybersecurity expert in many countries around the world. His experience includes serving as VP of Academic Affairs in the United Arab Emirates, network and security consultancies in the Middle East, and Cybersecurity Program Manager in Toronto Canada. He currently works as a Cybersecurity Professor at Seneca College, and a Research Fellow at Toronto Metropolitan University, Toronto, Canada.
作者簡介(中文翻譯)
Pethuru Raj 是 Reliance Jio Platforms Ltd. (JPL) 班加羅爾的首席架構師。之前,他曾在 IBM 全球雲端卓越中心 (CoE)、Wipro 諮詢服務 (WCS) 和 Robert Bosch 企業研究 (CR) 工作。他在 IT 行業擁有超過 22 年的經驗以及 8 年的研究經驗。
B. Sundaravadivazhagan 於印度金奈的安娜大學獲得計算機科學博士學位。目前,他是阿曼穆薩納科技與應用科學大學資訊科技系的教職員。他是 ISACA 和 ISTE 的專業會員,並且是 IEEE 的資深會員。他的學術和研究背景涵蓋了超過 21 年,曾在多個機構任職。
Saleem Raja 是阿曼蘇丹國 Shinas 科技與應用科學大學資訊科技系的副教授。他於 2017 年獲得數據挖掘領域的博士學位,並在印度泰米爾納德邦的 Bharathidasan 大學獲得資訊科技的碩士學位。他在國內外期刊、會議和書籍章節上發表了超過 25 篇研究論文。
Mohammed M. Alani 擁有計算機工程博士學位,專攻網路安全。他曾在世界多個國家擔任教授和網路安全專家。他的經驗包括在阿拉伯聯合大公國擔任學術事務副總裁、中東的網路和安全顧問,以及在加拿大多倫多擔任網路安全計劃經理。他目前在 Seneca College 擔任網路安全教授,並在加拿大多倫多大學擔任研究員。