Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications
暫譯: 醫療與醫學中的人工智慧模型手冊：方法、理論與應用
Chander, Bhanu, Guravaiah, Koppala, Anoop, B.
相關主題
商品描述
This handbook provides thorough, in-depth, and well-focused developments of AI, ML, DL, NLP, cryptography, and Blockchain approaches along with their applications focused on healthcare systems.
商品描述(中文翻譯)
本手冊提供了有關人工智慧（AI）、機器學習（ML）、深度學習（DL）、自然語言處理（NLP）、密碼學以及區塊鏈技術的全面、深入且專注的發展，並著重於其在醫療系統中的應用。
作者簡介
Dr. Bhanu Chander, working as Assistant Professor at Indian Institute of Information Technology (IIIT-K), Pala, Kerala, India, graduated from Acharya Nagarjuna University, Andhra Pradesh, India, and received a postgraduate degree from the Central University of Rajasthan, India. Dr. Bhanu earned a Ph.D. in Machine Learning in Wireless Sensor Networks for Sensor Data Classification from Pondicherry University, India, in 2022. Dr. Bhanu's primary research interests are in the areas of wireless sensor networks, machine learning, and IoT security. As we know, computer science as a field has largely focused on problems relevant to the developed world. The internet and the world wide web have remained largely urban phenomena, which means that a significant fraction of the developing world, especially in rural and underdeveloped regions, remains disconnected from the rest of the world. Dr. Bhanu is an academic reviewer recognized by IEEE, ACM, and Springer, and has served for 16 various scientific journals and conferences in the review process of more than 50 articles. He contributed as a track chair and session chair for numerous international conferences and workshops, and performed as a technical program committee (TPC) member for several international conferences organized by IEEE, Springer, and ACM.
He is interested in machine learning techniques for energy-efficient 6G networks, blockchain technology for the security of the Internet of Things and wireless communications, analysis and verification of cryptographic protocols, and identification of novel features or misclassified features in satellite image analysis. He published eight articles in peer-reviewed journals, five international conferences, and eight book chapters (Elsevier, Wiley, CRC, and Springer). Presently, his main areas of interest include wireless sensor networks (WSN), IoT and healthcare, cryptography, machine learning, and deep learning.
Dr. Anoop, working as Postdoctoral Research Fellow at Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Centre, US, received a Ph.D. degree in the Development of Automated Methods for Retinal Optical Coherence Tomography Image Analysis from the National Institute of Technology, Surathkal, India, in 2021 and M.Tech on Signal Processing from National Institute of Technology, Calicut, India, 2013. He received the Best Paper award at the ninth International Conference on Pattern Recognition and Machine Intelligence, PReMI 2021 for the work entitled "Attention-Assisted Patchwise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images" Organized by Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata, India, in December 2021. He attended the 43rd-annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC21). Research fellow on a project entitled "Retinal Cysts Identification and Quantification from Low-SNR Optical Coherence Tomography Scans Using Image Processing Techniques" (funding agency: DST-SERB) from May 2017 to March 2020. He has membership in the professional bodies IEEE, IEEE Signal Processing, Engineering in Medicine and Biology Society, and Internet Society.
He published six articles in peer-reviewed journals and two book chapters. Presently, his main areas of interest include medical image processing, deep learning, GANs and auto-encoders.
Dr. Koppala Guravaiah, working as Assistant Professor at Indian Institute of Information Technology (IIIT-K), Pala, Kerala, India, completed a Ph.D. on the topic of Performance of Routing Protocols in Wireless Sensor Networks using River Formation Dynamics from National Institute of Technology Tiruchirappalli, India. His research interests include the Internet of Things (IoT), wireless sensor networks, MANETs, applications and security aspects in IoT, WSN, and MANETs, and natural language processing. He is an active speaker at various international and national conferences. He contributed as a track chair and session chair for numerous international conferences and workshops and pe0rformed as a technical program committee member for several international conferences. He has published in five journals, eight conferences, and contributed two book chapters in the areas mentioned above. He is a member of various professional research bodies, such as IEEE and ACM.
Dr. G. Kumaravelan currently serves as Associate Professor at Department of Computer Science, School of Engineering and Technology, Pondicherry University, Karaikal Campus, Karaikal, India. He received his M.Tech in Advanced Information Technology and his Ph.D. in Computer Science from Bharathidasan University, Trichy, India, in 2009 and 2013, respectively. He has published more than 25 research papers in reputed international journals indexed in Scopus and SCI and conferences including IEEE, SPRINGER, and ACM. He received two best paper awards in the international conferences organized by the IITs. He has received "Best Teacher Award" from Pondicherry University, based on students' evaluation, for the past six years (2013-14, 2014-15, 2015-16, 2016-17, 2017-18, and 2018-19). He has gained 17 years of rich teaching and research experience. He is an active reviewer in various international conferences and peer-reviewed journals, and has reviewed more than 200 papers. He has acted as a resource person in various FDPs, conferences, and seminars in higher educational institutions. He contributed as a track chair and session chair for numerous international conferences and workshops and performed as a TPC member for several international conferences. His research interests include the Internet of Things, cloud computing, big data analytics, wireless communications, and networking.
作者簡介(中文翻譯)
Dr. Bhanu Chander目前擔任印度喀拉拉邦帕拉的印度資訊科技學院（IIIT-K）助理教授，畢業於印度安得拉邦的阿查里亞納加爾朱納大學，並在印度拉賈斯坦中央大學獲得研究生學位。Dr. Bhanu於2022年在印度龐迪榭里大學獲得無線感測網路中用於感測數據分類的機器學習博士學位。Dr. Bhanu的主要研究興趣包括無線感測網路、機器學習和物聯網安全。眾所周知，計算機科學這一領域主要集中於與發達國家相關的問題。互聯網和全球資訊網在很大程度上仍然是城市現象，這意味著發展中國家的相當一部分，特別是在農村和欠發達地區，仍然與世界其他地區脫節。Dr. Bhanu是IEEE、ACM和Springer認可的學術審稿人，曾為16本不同的科學期刊和會議審稿超過50篇文章。他擔任過多個國際會議和研討會的專題主席和會議主席，並作為技術程序委員會（TPC）成員參與多個由IEEE、Springer和ACM主辦的國際會議。
他對於能效6G網路的機器學習技術、物聯網和無線通信的安全區塊鏈技術、密碼協議的分析與驗證，以及衛星影像分析中新特徵或錯誤分類特徵的識別感興趣。他在同行評審的期刊上發表了八篇文章，參加了五個國際會議，並撰寫了八個書章（Elsevier、Wiley、CRC和Springer）。目前，他的主要研究領域包括無線感測網路（WSN）、物聯網與醫療保健、密碼學、機器學習和深度學習。
Dr. Anoop目前擔任美國德克薩斯州健康科學中心的格倫·比格斯阿茲海默症與神經退行性疾病研究所的博士後研究員，於2021年在印度蘇拉特卡爾國立技術學院獲得自動化方法在視網膜光學相干斷層掃描影像分析中的發展博士學位，並於2013年在印度卡利庫特國立技術學院獲得信號處理的碩士學位。他因在2021年12月由印度統計學院（ISI）舉辦的第九屆國際模式識別與機器智能會議（PReMI 2021）上發表的題為「注意力輔助的區塊CNN用於從視網膜光學相干斷層掃描影像中分割液體」的工作獲得最佳論文獎。他參加了第43屆IEEE醫學與生物工程學會（EMBC21）年會。自2017年5月至2020年3月，他參與了一個名為「使用影像處理技術從低信噪比光學相干斷層掃描中識別和量化視網膜囊腫」的項目（資助機構：DST-SERB）。他是IEEE、IEEE信號處理、醫學與生物工程學會和互聯網協會等專業機構的成員。
他在同行評審的期刊上發表了六篇文章和兩個書章。目前，他的主要研究領域包括醫學影像處理、深度學習、生成對抗網路（GANs）和自編碼器。
Dr. Koppala Guravaiah目前擔任印度喀拉拉邦帕拉的印度資訊科技學院（IIIT-K）助理教授，完成了關於無線感測網路中路由協議性能的博士學位，研究主題為河流形成動力學。他的研究興趣包括物聯網（IoT）、無線感測網路、移動自組織網路（MANETs）、物聯網、WSN和MANETs中的應用及安全性，以及自然語言處理。他是多個國際和國內會議的活躍演講者，曾擔任多個國際會議和研討會的專題主席和會議主席，並作為多個國際會議的技術程序委員會成員。他在五本期刊、八個會議上發表過文章，並在上述領域貢獻了兩個書章。他是IEEE和ACM等多個專業研究機構的成員。
Dr. G. Kumaravelan目前擔任印度龐迪榭里大學卡拉伊卡爾校區工程與技術學院計算機科學系的副教授。他於2009年和2013年分別在印度特里奇的巴拉特迪桑大學獲得先進資訊技術的碩士學位和計算機科學的博士學位。他在多個國際期刊上發表了超過25篇研究論文，這些期刊均被Scopus和SCI索引，並參加了包括IEEE、SPRINGER和ACM的會議。他在由印度理工學院舉辦的國際會議中獲得了兩次最佳論文獎。根據學生評價，他在過去六年（2013-14、2014-15、2015-16、2016-17、2017-18和2018-19）中獲得了龐迪榭里大學的「最佳教師獎」。他擁有17年的豐富教學和研究經驗。他是多個國際會議和同行評審期刊的活躍審稿人，已審稿超過200篇文章。他在多個高等教育機構的各種FDP、會議和研討會中擔任資源人員。他擔任過多個國際會議和研討會的專題主席和會議主席，並作為多個國際會議的TPC成員。他的研究興趣包括物聯網、雲計算、大數據分析、無線通信和網路。
