Deep Learning in Internet of Things for Next Generation Healthcare

本書介紹了深度學習驅動的醫療工具和技術的最新發展，並提供了實用的想法，利用物聯網（IoT）與深度學習（基於運動的物體數據）來應對人類動態和挑戰，包括關鍵應用領域、技術、醫學影像、藥物發現、保險詐騙檢測及解決相關挑戰的方案。本書涵蓋了即時醫療應用、新穎解決方案、當前的開放挑戰，以及深度學習在下一代醫療中的未來。它詳細分析了物聯網與深度學習及其底層技術在急診部門等關鍵應用領域的利用情況，如藥物發現、醫學影像、詐騙檢測、阿茲海默症和基因組。

- 提出使用物聯網與深度學習視覺的實用方法，以及如何應對人類動態
- 提供醫學影像的新穎解決方案，包括皮膚病變檢測、癌症檢測、MRI影像增強技術、自動化疾病預測、詐騙檢測、基因組等
- 包含物聯網和深度學習的最新技術進展及其在醫療中的應用
- 將深度學習和分析結合在統一框架中，以理解物聯網和深度學習應用
- 涵蓋與傳感器數據收集、移動物體的檢測和追蹤相關的挑戰性問題及解決方案

研究生和計算機科學系的研究人員，專注於物聯網、深度學習、機器學習、影像處理、大數據、雲計算和遙感等領域，將會發現本書非常有用。

Dr. Lavanya Sharma is an assistant professor, Amity Institute of Information Technology at Amity University UP, Noida, India. She did her M.Tech (Computer Science and Engineering) in 2013 at Manav Rachna College of Engineering, affiliated with Maharshi Dayanand University, Haryana, India. She did her Ph.D. at Uttarakhand Technical University, India, as a full time Ph.D. Scholar in the field of Digital Image Processing and Computer Vision in April 2018 and received a TEQIP scholarship for the same. Her research work is on motion-based object detection using a background subtraction technique for smart video surveillance. She has been a recipient of several prestigious awards during her academic career. She has more than 40+ research papers to her credit, including Elsevier (SCI indexed), Inderscience, IGI Global, IEEE Explore, and many more. She has authored six books and five with Taylor & Francis, CRC Press. She has done various certified courses from IIRS (ISRO Dehradun Unit) and also guided 90+. She also contributed as an organizing committee member to Springer's Springer and IEEE conferences. She is an editorial member/reviewer of various journals of repute and active program committee member of various IEEE and Springer conferences. Her primary research interests are digital image processing and computer vision, artificial intelligence, mobile ad-hoc networks, and the Internet of Things. Her vision is to promote teaching and research, providing a highly competitive and productive environment in academic and research areas with tremendous growing opportunities for society and her country.

Professor P.K. Garg worked as a Vice Chancellor, Uttarakhand Technical University, Dehradun. Presently he is working in the department of Civil Engineering, IIT Roorkee, as a professor. He completed a B.Tech. (civil engineering) in 1980 and M.Tech. (civil engineering) in 1982, both from the University of Roorkee (now IIT Roorkee). He is a recipient of the Gold Medal at IIT Roorkee to stand first during the M.Tech program, Commonwealth Scholarship Award for doing his Ph.D. at the University of Bristol (UK), and Commonwealth Fellowship Award to carry out post-doctoral research work at the University of Reading (UK). He joined the Department of Civil Engineering at IIT Roorkee in 1982, and gradually advancing, his career rose to the position of Head of the department in 2015 at IIT Roorkee.

Professor Garg has published more than 300 technical papers in national and international conferences and journals. He has undertaken 26 research projects and provided technical services to 83 consultancy projects on various aspects of Civil Engineering, generating funds for the Institute. He has authored three text-books on remote sensing, theory and principles of geoinformatics, and introduction to unmanned aerial vehicles and produced two technical films on the story of mapping. He has developed several new courses and practical exercises in Geomatics Engineering. Besides supervising a large number of undergraduate projects, he has guided about 72 M.Tech. and 27 Ph.D. thesis students. He is instrumental in prestigious MHRD-funded projects on e-learning and the development of virtual labs, pedagogy and courses under NPTEL. He has served as an expert on various national committees, including the Ministry of Environment & Forest; EAEC Committee; NBA (AICTE); and Project Evaluation Committee, DST, New Delhi.

Professor Garg has reviewed a large number of papers for national and international journals. Considering the need to train human resources in the country, he has successfully organized 42 programs in advanced areas of surveying, photogrammetry, remote sensing, GIS, and GPS. He has successfully organized ten conferences and workshops. He is a life member of 24 professional societies, out of which he is a fellow of eight societies. For academic work, Professpr Garg has traveled widely, nationally and internationally.

Dr. Lavanya Sharma 是印度諾伊達阿米提大學資訊技術學院的助理教授。她於2013年在印度哈里亞納邦的馬納夫拉奇納工程學院獲得計算機科學與工程的碩士學位。她於2018年4月在印度烏塔拉坎德技術大學獲得數位影像處理與計算機視覺領域的博士學位，並獲得TEQIP獎學金。她的研究工作專注於使用背景減除技術進行基於運動的物體檢測，以實現智慧視頻監控。在她的學術生涯中，她獲得了多項著名獎項。她發表了超過40篇研究論文，包括Elsevier（SCI索引）、Inderscience、IGI Global、IEEE Explore等多個期刊。她著有六本書，其中五本與Taylor & Francis、CRC Press合作出版。她完成了來自IIRS（ISRO德哈敦單位）的多個認證課程，並指導了90多位學生。她還作為組織委員會成員參與了Springer和IEEE的會議。她是多個知名期刊的編輯成員/審稿人，並積極參與各種IEEE和Springer會議的程序委員會。她的主要研究興趣包括數位影像處理與計算機視覺、人工智慧、移動自組網和物聯網。她的願景是促進教學和研究，提供一個高度競爭和富有成效的學術及研究環境，為社會和她的國家創造巨大的成長機會。

Professor P.K. Garg 曾擔任印度德哈敦烏塔拉坎德技術大學的副校長。目前，他在印度理工學院魯爾基的土木工程系擔任教授。他於1980年獲得土木工程的學士學位，1982年獲得土木工程的碩士學位，均來自魯爾基大學（現為印度理工學院魯爾基）。他是印度理工學院魯爾基碩士學位課程中獲得金獎的學生，並獲得英國布里斯托大學博士學位的英聯邦獎學金，以及在英國雷丁大學進行博士後研究的英聯邦獎學金。他於1982年加入印度理工學院魯爾基的土木工程系，並逐步晉升，於2015年成為該系主任。

Professor Garg 在國內外會議和期刊上發表了超過300篇技術論文。他承擔了26個研究項目，並為83個土木工程諮詢項目提供技術服務，為學院創造資金。他著有三本關於遙感、地理資訊科學理論與原則以及無人機介紹的教科書，並製作了兩部有關地圖製作的技術影片。他開發了多個新的課程和實踐練習，專注於測量工程。除了指導大量本科專案外，他還指導了約72位碩士生和27位博士生。他在MHRD資助的電子學習和虛擬實驗室、教學法及課程開發的項目中發揮了重要作用。他曾擔任多個國家委員會的專家，包括環境與森林部、EAEC委員會、NBA（AICTE）及新德里DST的項目評估委員會。

Professor Garg 為國內外期刊審稿了大量論文。考慮到國內人力資源培訓的需求，他成功組織了42個高級測量、攝影測量、遙感、GIS和GPS領域的課程。他成功組織了十場會議和研討會。他是24個專業學會的終身會員，其中八個學會的院士。為了學術工作，Professor Garg 曾廣泛旅行，涵蓋國內外。