Tiny Machine Learning Techniques for Constrained Devices
暫譯: 受限設備的微型機器學習技術
El-Makkaoui, Khalid, Lamaakal, Ismail, Ouahbi, Ibrahim
- 出版商: CRC
- 出版日期: 2026-01-30
- 售價: $4,740
- 貴賓價: 9.5 折 $4,503
- 語言: 英文
- 頁數: 224
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 103289752X
- ISBN-13: 9781032897523
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相關分類:
Machine Learning、Micro:bit
海外代購書籍(需單獨結帳)
商品描述
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. This book provides a comprehensive guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.
The book offers thorough coverage of key topics, including:
- Foundations and Optimization of TinyML: Covers microcontroller-centric power optimization, core principles, and algorithms essential for deploying efficient machine learning models on embedded systems with strict resource constraints.
- Applications of TinyML in Healthcare and IoT: Presents innovative use cases such as compact AI solutions for healthcare challenges, real-time detection systems, and integration with low-power IoT and LPWAN technologies.
- Security and Privacy in TinyML: Addresses the unique challenges of securing TinyML deployments, including privacy-preserving techniques, blockchain integration for secure IoT applications, and methods for protecting resource-constrained devices.
- Emerging Trends and Future Directions: Explores the evolving landscape of TinyML research, highlighting new applications, adaptive frameworks, and promising avenues for future investigation.
- Practical Implementation and Case Studies: Offers hands-on insights and real-world examples demonstrating TinyML in action across diverse scenarios, providing guidance for engineers, researchers, and students.
This book is an essential resource for embedded system designers, AI practitioners, cybersecurity professionals, and academics who want to harness the power of TinyML for smarter, more efficient, and secure edge intelligence solutions.
商品描述(中文翻譯)
《微型機器學習技術於受限設備》探討了微型機器學習（TinyML）的前沿領域，使得在資源極為有限的設備上（如微控制器和邊緣物聯網節點）實現智能機器學習成為可能。本書提供了一個全面的指南，涵蓋了在現實世界受限環境中設計、優化、安全和應用TinyML模型的各個方面。
本書詳細涵蓋了以下關鍵主題：
- TinyML的基礎與優化：涵蓋以微控制器為中心的功耗優化、核心原則以及在資源限制嚴格的嵌入式系統上部署高效機器學習模型所需的算法。
- TinyML在醫療保健和物聯網中的應用：介紹創新的使用案例，例如針對醫療挑戰的緊湊型AI解決方案、實時檢測系統，以及與低功耗物聯網和LPWAN技術的整合。
- TinyML中的安全性與隱私：針對TinyML部署的獨特安全挑戰進行探討，包括隱私保護技術、區塊鏈整合以實現安全的物聯網應用，以及保護資源受限設備的方法。
- 新興趨勢與未來方向：探索TinyML研究的演變格局，突顯新應用、適應性框架以及未來研究的有前景的方向。
- 實踐實施與案例研究：提供實用的見解和真實世界的例子，展示TinyML在各種場景中的應用，為工程師、研究人員和學生提供指導。
本書是嵌入式系統設計師、AI從業者、網絡安全專業人士和學術界人士的重要資源，旨在幫助他們利用TinyML的力量，實現更智能、更高效和更安全的邊緣智能解決方案。
作者簡介
Prof. Khalid El Makkaoui is an Associate Professor with the Department of Computer Science at the Multidisciplinary Faculty of Nador, University Mohammed Premier, Oujda, Morocco. His research interests focus on cybersecurity and artificial intelligence. He has published over 40 papers (book chapters, international journals, and conferences).
Dr. Ismail Lamaakal is currently advancing towards his Ph.D. in Computer Science at the Multidisciplinary Faculty of Nador, University Mohammed Premier, Oujda, Morocco. As an Artificial Intelligence Scientist, his research primarily focuses on the innovative integration of Tiny Machine Learning, the Internet of Things (IoT), Human-computer interaction, and Embedded Systems.
Prof. Ibrahim Ouahbi is a professor of computer science at the Multidisciplinary Faculty of Nador, University Mohammed Premier, Oujda, Morocco. His research interests include artificial intelligence, cybersecurity, and ICT integration in science education and learning.
Prof. Yassine Maleh is a PhD of the University Hassan 1st in Morocco in the field of Internet of Things Security and privacy, since 2013. He is Senior Member of IEEE, Member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. He has published over than 50 papers, 4 edited books and 1 authored book.
Prof. Ahmed A. Abd El-Latif (Senior Member, IEEE) is a Professor at Menoufia University, Egypt, and holds academic positions at Prince Sultan University, Saudi Arabia. He earned his Ph.D. (2013) from the Harbin Institute of Technology, China. He has authored over 350 publications in prestigious journals and conferences and has received multiple awards for his contributions.
作者簡介(中文翻譯)
卡立德·艾爾·馬卡烏伊教授是摩洛哥烏季達穆罕默德一世大學多學科學院計算機科學系的副教授。他的研究興趣集中在網絡安全和人工智慧上。他已發表超過40篇論文（書籍章節、國際期刊和會議論文）。
伊斯梅爾·拉馬卡爾博士目前正在摩洛哥烏季達穆罕默德一世大學多學科學院攻讀計算機科學博士學位。作為一名人工智慧科學家，他的研究主要集中在微型機器學習、物聯網（IoT）、人機互動和嵌入式系統的創新整合上。
易卜拉欣·瓦赫比教授是摩洛哥烏季達穆罕默德一世大學多學科學院的計算機科學教授。他的研究興趣包括人工智慧、網絡安全以及信息通信技術在科學教育和學習中的整合。
雅辛·馬雷赫教授自2013年以來在摩洛哥哈桑一世大學獲得物聯網安全與隱私領域的博士學位。他是IEEE的高級會員，國際工程師協會IAENG的成員，以及機器智能研究實驗室的成員。他已發表超過50篇論文，編輯了4本書籍並撰寫了1本專著。
艾哈邁德·阿布德·拉提夫教授（IEEE高級會員）是埃及梅努菲亞大學的教授，並在沙烏地阿拉伯的蘇丹王子大學擔任學術職位。他於2013年在中國哈爾濱工業大學獲得博士學位。他在知名期刊和會議上發表了超過350篇出版物，並因其貢獻獲得多項獎項。
