Machine Vision and Augmented Intelligence: Select Proceedings of Mai 2022 (機器視覺與增強智慧：2022年5月會議選輯)

本書包含了2022年國際機器視覺與擴增智慧會議（MAI 2022）的會議論文集。會議論文集總結了會議期間進行的最佳討論。來自學術界、產業界和研究界的參與者多樣性在書中的文章中得以體現。本書涵蓋了所有工業和非工業應用。內容涵蓋了廣泛的主題，如疾病轉化建模、疫情預測、影像處理、計算機視覺、擴增智慧、軟計算、深度學習、影像重建、健康照護中的人工智慧、腦機介面、網路安全、社交網路分析以及自然語言處理。

Koushlendra Kumar Singh is currently working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology, Jamshedpur, India. He completed his doctoral degree and master's program at the Indian Institute of Information Technology, Design, and Manufacturing, Jabalpur, India, in 2016 and 2011, respectively. Dr. Singh graduated in computer science and engineering from Bhagalpur College of Engineering, Bhagalpur, in 2008. He has published several papers in international refereed journals and conferences. His current research interest areas are image processing, biometrics, different applications of fractional derivatives, computational modeling, epidemic forecasting, etc.
Manish Kumar Bajpai is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India. He completed his Ph.D. from IIT Kanpur in image reconstruction and parallel algorithm design. Dr. Bajpai has published over 50 publications in international journals and conferences. He has several sponsored research and consultancy projects funded by agencies such as SPARC, MHRD, DST, USIEF, ATAL, BRNS, and NVIDIA. Eleven students have completed/pursuing their Ph.D. under his supervision. His research areas are augmented intelligence, machine vision, brain-computer interface, medical imaging, and parallel algorithms design. Dr. Bajpai is a senior member of IEEE and a life member of the Indian Science Congress and Indian Nuclear Society.
Dr. Akbar Sheikh Akbari is an associate professor (Reader) of Electronic Engineering in the School of Built Environment, Engineering and Computing. He has a B.Sc. (Hons), M.Sc. (distinction), and Ph.D. in Electronic and Electrical Engineering. After completing his Ph.D. at Strathclyde University, he joined Bristol University to work on an EPSRC project in stereo/multi-viewvideo processing. Dr. Sheikh Akbari's main areas of research are: biometric identification techniques, e.g., iris, ear, and face recognition, image resolution enhancement (super-resolution) methods, image source camera identification, color constancy (white balancing) techniques, standard and non-standard image/video codecs, e.g., H.264 and HEVC, multi-view image/video processing, video analytics and real-time embedded systems, edge detection in low SNR environments, compressive sensing, retro-reflective materials, online camera calibration. Dr. Sheikh Akbari was the academic supervisor for the following KTP project: Omega Security Systems/Leeds Beckett University, "Research, develop and implement a scalable and modular system which monitors and analyses individual behavioural patterns and movements in a range of environments", Funder: innovate UK, 24 months, £122,040, which was graded outstanding by innovate UK.

Koushlendra Kumar Singh 目前在印度賈姆謝德布爾國立技術學院的計算機科學與工程系擔任助理教授。他於2016年和2011年分別在印度賈巴爾普爾的印度信息技術設計與製造學院完成博士學位和碩士學位。Singh 博士於2008年在巴哈爾普爾工程學院獲得計算機科學與工程學士學位。他在國際同行評審的期刊和會議上發表了多篇論文。他目前的研究興趣包括圖像處理、生物識別、分數導數的不同應用、計算建模、流行病預測等。

Manish Kumar Bajpai 是印度賈巴爾普爾的印度信息技術設計與製造學院計算機科學與工程系的助理教授。他在印度理工學院坎普爾完成了圖像重建和並行算法設計的博士學位。Bajpai 博士在國際期刊和會議上發表了超過50篇論文。他有多個由 SPARC、MHRD、DST、USIEF、ATAL、BRNS 和 NVIDIA 等機構資助的研究和顧問項目。已有十一名學生在他的指導下完成或正在攻讀博士學位。他的研究領域包括增強智能、機器視覺、大腦-計算機介面、醫學影像和並行算法設計。Bajpai 博士是 IEEE 的資深會員，也是印度科學大會和印度核學會的終身會員。

Akbar Sheikh Akbari 博士是建築環境、工程與計算學院電子工程的副教授（講師）。他擁有電子與電氣工程的學士（榮譽）、碩士（優異）和博士學位。在斯特拉斯克萊德大學完成博士學位後，他加入布里斯托大學，參與一個關於立體/多視角視頻處理的 EPSRC 項目。Sheikh Akbari 博士的主要研究領域包括：生物識別識別技術（如虹膜、耳朵和面部識別）、圖像解析度增強（超解析度）方法、圖像來源相機識別、顏色恆常性（白平衡）技術、標準和非標準圖像/視頻編解碼器（如 H.264 和 HEVC）、多視角圖像/視頻處理、視頻分析和實時嵌入式系統、低信噪比環境中的邊緣檢測、壓縮感知、反射材料、在線相機校準。Sheikh Akbari 博士曾擔任以下 KTP 項目的學術主管：Omega Security Systems/利茲貝克特大學，'研究、開發和實施一個可擴展和模組化的系統，監控和分析各種環境中的個體行為模式和動作'，資助機構：innovate UK，24個月，£122,040，該項目被 innovate UK 評為優秀。