Explainable AI (XAI) for Sustainable Development: Trends and Applications
暫譯: 可解釋的人工智慧 (XAI) 與可持續發展:趨勢與應用
D, Lakshmi, Tiwari, Ravi Shekhar, Dhanaraj, Rajesh Kumar
- 出版商: CRC
- 出版日期: 2026-05-21
- 售價: $2,520
- 貴賓價: 9.5 折 $2,394
- 語言: 英文
- 頁數: 320
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032600152
- ISBN-13: 9781032600154
-
相關分類:
Machine Learning、Edge computing、區塊鏈 Blockchain
海外代購書籍(需單獨結帳)
商品描述
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain.
- Focuses on virtual machine placement and migration techniques for cloud data centres
- Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services
- Includes application of placement techniques for quality of service, performance, and reliability improvement
- Explores data centre resource management, load balancing and orchestration using machine learning techniques
- Analyses dynamic and scalable resource scheduling with a focus on resource management
The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
商品描述(中文翻譯)
這本書介紹了創新的研究成果,旨在自動化、創新、設計和部署人工智慧(AI)以應用於現實世界的應用。它討論了AI在主要尖端技術中的應用,並詳細說明了不同應用的部署解決方案,以促進可持續發展。本書中區塊鏈技術的應用展示了優化算法的方式。與AI部署相關的挑戰也被詳細討論,並解釋了邊緣計算與機器學習解決方案。本書為讀者提供了AI的多領域應用,幫助尋找創新的方法以應對商業、可持續性和客戶拓展的範式。
- 專注於雲端數據中心的虛擬機器放置和遷移技術
- 提出機器學習和元啟發式方法在雲計算服務中優化的角色
- 包括服務質量、性能和可靠性改善的放置技術應用
- 探索使用機器學習技術的數據中心資源管理、負載平衡和編排
- 分析動態和可擴展的資源調度,重點在於資源管理
本參考書適合計算機科學和資訊技術的研究生、專業人士和學術研究者。
作者簡介
Dr. Lakshmi D is presently designated as a Senior Associate Professor in the School of Computing Science and Engineering (SCSE) and Assistant Director, at the Centre for Innovation in Teaching & Learning (CITL) at VIT Bhopal. She has 26 years of teaching experience. She has addressed innumerable guest lectures, acted as a session chair, and was invited as a keynote speaker at several international conferences. She has conducted FDPs that cover approximately 1,00,000 plus faculty members including JNTU, TEQIP, SERB, SWAYAM, DST, AICTE, MHRD, ATAL, ISTE, Madhya Pradesh Government-sponsored, and self-financed workshops across India as well as Misami University, Philipines on various topics. She has 20 international conference presentations, and 32 international journal papers inclusive of SCOPUS & SCI (cumulative impact factor 45). A total of 20 SCOPUS-indexed book chapters. A total of 24 patents are in various states and 18 patents have been granted at both national and international levels. She was appointed as an external examiner for several Ph.D candidates at reputed universities. She is also guiding research scholars. She has won two Best Paper awards at international conferences, one at the IEEE conference and another one at EAMMIS 2021 (First European, Asian, Middle Eastern North African Conference on Management & Information Systems). She received two best teacher awards in the year 2022 on the eve of Teacher's Day. She published a book on "Theory of Computation" in 2003, "Leading Education in the Age of Disruption" in 2021, and "Smart Cities: Disruptive Technologies Driving the Force", in 2023. She acted as a SPOC to both KAVACH and the Smart India Hackathon in the last three editions. She has created 15 hours of the high-quality online course "Python Essentials" at VITyarthi Online Learning Platform. She has 5 SCOPUS Indexed book edits with three CRS Press, Taylor, and Francis, three IGI Global, and two IEEE Rivers.
Mr. Ravi Shekhar Tiwari is a Researcher, Innovator, and an Engineer. He has written more than 0.5 billion lines of code that are adding value to people's lives. He has 4+ years of industry experience working as an Artificial Intelligence Engineer, Penetration Tester, and MFDI Engineer in Multinational IT companies as well as start-ups. He also holds a position as a reviewer and editor in reputed journals and as an author in technical magazines with Indian Patents, SCI research papers SCOPUS research papers, Book Chapters SCOPUS indexed, and as an Editor in Book Series titled 'Futuristic Trend in Artificial Intelligence' and 'Futuristic Trend in IoT''. He has won awards as a Researcher and contribution to Student Development. Ravi Shekhar Tiwari's research domain includes Time Series Analysis, Protein Structure Prediction and Generation, Federated Learning, the Internet of Things, Microcontrollers, Gait Analysis, AI and Healthcare, XAI, Cloud Computing, Computer Vision, Parallel and Distributed Computing in the cloud. Currently, he is pursuing his Master in Technology in Mahindra University with a Specialization in Artificial Intelligence and Data Science with Teaching Assistant. As a responsible member, he always tries to enhance and uplift society by teaching students remotely. He has been invited as a guest speaker at 2 international conferences. He is also a teacher and mentor without the border where he teaches students to overcome difficulties and pursue their interests as their careers. He also writes poems and short inspirational stories in periodicals.
Dr Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. His academic and research achievements have earned him a place among the top 2% of scientists globally, a recognition bestowed upon him by Elsevier and Stanford University. He has authored and edited over 50 books on various cutting-edge technologies and holds 21 patents. Furthermore, he has contributed over 100 articles and papers to esteemed refereed journals and international conferences, in addition to providing chapters for several influential books. Dr. Dhanaraj has earned the distinction of being a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is also a member of the Computer Science Teacher Association (CSTA) and the International Association of Engineers (IAENG). Dr. Dhanaraj's commitment to academic excellence extends to his role as an Associate Editor and Guest Editor for renowned journals, including Elsevier Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, and Hindawi - Mobile Information Systems. His expertise has earned him a position as an Expert Advisory Panel Member of Texas Instruments Inc., USA.
Prof. Kadry has a bachelor's degree in 1999 from Lebanese University, an MS degree in 2002 from Reims University (France) and EPFL (Lausanne), Ph.D. in 2007 from Blaise Pascal University (France), an HDR degree in 2017 from Rouen University (France). His research currently focuses on Data Science, medical image recognition using AI, education using technology, and applied mathematics. He is an IET Fellow and IETE Fellow, member of European Academy of Sciences and Arts. He is a full professor of data science at Noroff University College, Norway.
作者簡介(中文翻譯)
**Dr. Lakshmi D** 目前擔任 VIT Bhopal 計算科學與工程學院 (SCSE) 的高級副教授及教學與學習創新中心 (CITL) 的助理主任。她擁有 26 年的教學經驗。她曾多次擔任客座講座,擔任會議主席,並受邀在多個國際會議上擔任主題演講者。她主持的教師發展計畫 (FDP) 涵蓋了超過 100,000 名教職員,包括 JNTU、TEQIP、SERB、SWAYAM、DST、AICTE、MHRD、ATAL、ISTE、中央邦政府贊助的以及自費的工作坊,遍及印度及菲律賓的 Misami 大學,主題多樣。她在國際會議上發表了 20 篇演講,並發表了 32 篇國際期刊論文,包括 SCOPUS 和 SCI(累積影響因子 45)。她共撰寫了 20 篇 SCOPUS 索引的書章。她擁有 24 項專利,處於不同狀態,其中 18 項專利已在國內和國際層面獲得批准。她被多所知名大學聘為外部考官,負責多位博士候選人的考核。她也在指導研究學者。她在國際會議上獲得了兩個最佳論文獎,一個是在 IEEE 會議上,另一個是在 EAMMIS 2021(第一屆歐洲、亞洲、中東和北非管理與信息系統會議)。她在 2022 年教師節前夕獲得了兩個最佳教師獎。她於 2003 年出版了《計算理論》一書,2021 年出版了《在顛覆時代引領教育》,以及在 2023 年出版的《智慧城市:驅動力量的顛覆性技術》。在過去三屆中,她擔任 KAVACH 和智慧印度黑客馬拉松的 SPOC。她在 VITyarthi 在線學習平台上創建了 15 小時的高品質在線課程《Python 基礎》。她編輯了 5 本 SCOPUS 索引的書籍,與三家 CRS Press、Taylor 和 Francis,三家 IGI Global,以及兩家 IEEE Rivers 合作。
**Mr. Ravi Shekhar** Tiwari 是一位研究員、創新者和工程師。他編寫了超過 5 億行代碼,為人們的生活增添價值。他擁有超過 4 年的行業經驗,曾在跨國 IT 公司及初創企業擔任人工智慧工程師、滲透測試員和 MFDI 工程師。他還擔任多本知名期刊的審稿人和編輯,並在技術雜誌上發表文章,涉及印度專利、SCI 研究論文、SCOPUS 研究論文、SCOPUS 索引的書章,以及擔任名為《人工智慧的未來趨勢》和《物聯網的未來趨勢》書系列的編輯。他因在研究和學生發展方面的貢獻而獲得獎項。Ravi Shekhar Tiwari 的研究領域包括時間序列分析、蛋白質結構預測與生成、聯邦學習、物聯網、微控制器、步態分析、人工智慧與醫療保健、可解釋的人工智慧 (XAI)、雲計算、計算機視覺、雲中的並行與分佈式計算。目前,他在 Mahindra 大學攻讀技術碩士學位,專攻人工智慧和數據科學,並擔任教學助理。作為一名負責任的成員,他始終努力通過遠程教學來提升社會。他曾受邀在 2 個國際會議上擔任嘉賓演講者。他也是一位無國界的教師和導師,教導學生克服困難,追求他們的興趣作為職業。他還在期刊上撰寫詩歌和短篇勵志故事。
**Dr. Rajesh Kumar Dhanaraj** 是印度浦那 Symbiosis International (Deemed University) 的傑出教授。他的學術和研究成就使他在全球科學家中名列前 2%,這一榮譽由 Elsevier 和史丹佛大學頒發。他撰寫和編輯了超過 50 本有關各種尖端技術的書籍,並擁有 21 項專利。此外,他為多本知名的同行評審期刊和國際會議貢獻了超過 100 篇文章和論文,並為幾本有影響力的書籍提供了章節。Dr. Dhanaraj 獲得了電氣和電子工程師學會 (IEEE) 的高級會員資格。他還是計算機科學教師協會 (CSTA) 和國際工程師協會 (IAENG) 的成員。Dr. Dhanaraj 對學術卓越的承諾延伸至他在知名期刊中擔任副編輯和客座編輯的角色,包括 Elsevier 的《計算機與電氣工程》、《以人為本的計算與信息科學》、《Emerald - 國際普遍計算與通信期刊》和 Hindawi 的《移動信息系統》。他的專業知識使他成為德州儀器公司 (Texas Instruments Inc.) 的專家諮詢小組成員。
**Prof. Kadry** 於 1999 年獲得黎巴嫩大學的學士學位,2002 年獲得法國蘭斯大學和洛桑聯邦理工學院的碩士學位,2007 年獲得法國布萊茲·帕斯卡大學的博士學位,2017 年獲得法國魯昂大學的 HDR 學位。他目前的研究重點是數據科學、使用人工智慧的醫學影像識別、技術教育和應用數學。他是 IET Fellow 和 IETE Fellow,並且是歐洲科學與藝術學院的成員。他是挪威 Noroff 大學的數據科學全職教授。