Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications
暫譯: 工程應用中的應用人工智慧與機器學習技術

這本書介紹了在工程領域中各種機器學習的應用，重點是基於深度學習的機器學習方法。它探討了三個不同的多學科工程分支之間的關係：生醫工程、信號處理和計算機科學。

《應用人工智慧與機器學習技術於工程應用》探討了在實際工程應用中使用 AI/ML 的最新進展，邀請頂尖專家分享他們最近工作的成果。所探討的主題包括信號的檢測、測量和監控（生物感測器和生醫設備），以及使用信號處理技術對生物電數據進行診斷解釋。作者還在工程的背景下討論了幾個機器學習任務，例如分類（監督式學習）和聚類（非監督式學習）。最後，這本書還描述了用於人體的新生物材料的開發。

這本書將對從事生醫信號和/或人機介面的研究人員和學者提供很大的幫助。

Dr. Ravichander Janapati is presently working as an Associate Professor at Department of ECE, SR University, Warangal, Telangana, India. He is a senior member of IEEE, and he graduated in Electronics and Communication Engineering from JNTU Hyderabad. He received his PhD in the Adhoc Wireless Sensor Networks field and M. Tech in Digital Electronics and Communication Systems from the Jawaharlal Nehru Technical University, Anantapur. His research papers are published in reputed international journals and international conferences. He had successfully completed a UGC sponsored project and one project funded by DST-SERB. Interests for research are wireless senor networks and brain computer interface. He is a reviewer for the Adhoc Network journal (Elsevier). He has eight patents.

Dr. Usha Desai is presently working as a Professor and Dean (Research & Development) for S.E.A College of Engineering & Technology, Bengaluru, India. She received her PhD in Biomedical Signal Processing from REVA University, Bengaluru, and M. Tech and B.E. from Visvesvaraya Technological University (VTU), Belagavi, Karnataka, India. She received the DST International Travel Grant to present her research paper at 39th IEEE EMBS International Annual Conference held at Jeju Island, South Korea. She has organized International Conference on Innovative Research Development (ICIRD-2024) at Shinawatra University, Bangkok, Thailand and received Best Academician and Organizing member awards.

She served as an Organizer and Session Chair at the reputed IEEE International Conferences. Also, she has presented technical research papers in numerous international indexed conferences and authored more than 50 research publications. She has authored five books on biomedical healthcare. She has six patents. She is presently a Senior Member of IEEE and Life Member of ISTE.

Dr. Steven Fernandes began his postdoctoral research at the University of Alabama-Birmingham after receiving his Ph.D. in Electronics and Communication Engineering from Karunya Institute of Technology and Science and his Masters in Microelectronics from Manipal Institute of Technology. There, he worked on NIH-funded projects. He also conducted postdoctoral research at the University of Central Florida. This research included working on DARPA, NSF, and RBC funded projects. Steven's current area of research is focused on using artificial intelligence techniques to extract useful patterns from big data. This includes robust computer vision applications using deep learning and computer-aided diagnosis using medical image processing.

Dr. Rakesh Sengupta is a cognitive scientist specializing in vision, attention, and working memory. While working on his dissertation, Rakesh spent two years as a visiting fellow at Center for Mind/Brain Sciences (CiMec) at the University of Trento, Italy. He completed his PhD from the Center for Neural and Cognitive Science, University of Hyderabad in 2015. His current research involves building a visual working memory module for selective tuning based cognitive architecture, as well as building computational models of the human motor system using computational, theoretical, behavioral, and neuroimaging methods.

Dr. Shubham Tayal is a Layout Design Engineer at Synopsys India Pvt. Ltd., Hyderabad, India. He has more than 8 Years of academic/research experience of teaching at UG and PG level. He has received his Ph.D. in Microelectronics & VLSI Design from National Institute of Technology, Kurukshetra, M.Tech (VLSI Design) from YMCA University of Science and Technology, Faridabad and B.Tech (Electronics and Communication Engineering) from MDU, Rohtak. His research interests include Simulation and Modelling of Multigate Semiconductor Devices, Device-Circuit Co-design in Digital/Analog Domain, Machine Learning and IOT.

拉維昌德·賈納帕提博士目前擔任印度特倫甘納邦瓦朗加爾SR大學電子與通信工程系的副教授。他是IEEE的資深會員，並在海得拉巴的JNTU獲得電子與通信工程學位。他在Adhoc無線感測網路領域獲得博士學位，並在阿南塔布爾的Jawaharlal Nehru技術大學獲得數位電子與通信系統的碩士學位。他的研究論文發表在知名的國際期刊和國際會議上。他成功完成了一個UGC贊助的項目和一個由DST-SERB資助的項目。研究興趣包括無線感測網路和腦機介面。他是Adhoc Network期刊（Elsevier）的審稿人，擁有八項專利。

烏莎·德賽博士目前擔任印度班加羅爾S.E.A工程與技術學院的教授及研究與發展院長。她在班加羅爾的REVA大學獲得生物醫學信號處理的博士學位，並在卡納塔克邦的Visvesvaraya技術大學（VTU）獲得碩士和學士學位。她獲得DST國際旅行補助金，以在韓國濟州島舉行的第39屆IEEE EMBS國際年會上發表研究論文。她在泰國曼谷的Shinawatra大學組織了創新研究發展國際會議（ICIRD-2024），並獲得最佳學者和組織成員獎。

她曾擔任多個知名IEEE國際會議的組織者和會議主席，並在眾多國際索引會議上發表技術研究論文，擁有超過50篇研究出版物。她著有五本生物醫療健康相關書籍，擁有六項專利。她目前是IEEE的資深會員及ISTE的終身會員。

史蒂文·費爾南德斯博士在阿拉巴馬大學伯明翰分校開始他的博士後研究，之前在Karunya技術與科學學院獲得電子與通信工程的博士學位，並在Manipal技術學院獲得微電子碩士學位。在那裡，他參與了NIH資助的項目。他還在中央佛羅里達大學進行博士後研究，該研究包括參與DARPA、NSF和RBC資助的項目。史蒂文目前的研究領域專注於使用人工智慧技術從大數據中提取有用的模式，包括使用深度學習的穩健計算機視覺應用和使用醫學影像處理的計算機輔助診斷。

拉克什·森古普塔博士是一位專注於視覺、注意力和工作記憶的認知科學家。在撰寫論文期間，拉克什在意大利特倫托大學的心智/大腦科學中心（CiMec）擔任訪問研究員兩年。他於2015年在海得拉巴大學的神經與認知科學中心獲得博士學位。他目前的研究涉及為選擇性調整的認知架構構建視覺工作記憶模組，以及使用計算、理論、行為和神經影像方法構建人類運動系統的計算模型。

舒巴姆·塔亞爾博士是印度海得拉巴Synopsys India Pvt. Ltd.的佈局設計工程師。他擁有超過8年的本科和研究生教學經驗。他在庫魯克舍特拉國立技術學院獲得微電子與VLSI設計的博士學位，在法里達巴德的YMCA科學與技術大學獲得VLSI設計的碩士學位，並在羅塔克的MDU獲得電子與通信工程的學士學位。他的研究興趣包括多閘半導體設備的模擬與建模、數位/類比領域的設備-電路共同設計、機器學習和物聯網。