Applied Computer Vision and Soft Computing with Interpretable AI

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments.

Features:

• Covers a variety of deep learning architectures useful for computer vision tasks
• Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks
• Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem
• Addresses the different issues and further research opportunities in computer vision and soft computing
• Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain
• Considers recent real word problems and the prospective solutions to these problems

This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.

這本參考書介紹了計算機視覺和軟計算技術的知識基礎，以及它們在可持續發展中的應用。

特點：
- 包括多種對計算機視覺任務有用的深度學習架構
- 演示了不同軟計算技術及其在不同計算機視覺任務中的應用
- 強調基於深度學習和軟計算的混合技術的統一優勢，提供對給定問題的可解釋、自適應和優化解決方案
- 探討了計算機視覺和軟計算中的不同問題和進一步的研究機會
- 通過實際例子和案例研究描述了所有概念，並使用適當的性能指標驗證了相應技術在特定領域的應用性
- 考慮了最近的現實問題及其可能的解決方案

這本書對於希望探索深度學習和軟計算在不同計算機視覺任務中的威力的研究人員、學生、教職員和業界人士將非常有用。

Prof. Dr. Swati V Shinde has completed Ph.D. in Computer Science and Engineering, from Swami Ramanand Teertha Marathwada University, Nanded. She has total 22 years of teaching experience and currently she is working as a Dean-R&D and Professor- Computer Engineering, Pimpri Chinchwad College of Engineering (PCCoE), Pune. She has worked as a HOD-IT for seven years in PCCoE. Her research interests include Machine Learning, Deep Learning, Soft Computing, Artificial Neural Network and Fuzzy Logic. She has published 100+ research papers in reputed conferences and journals. She received the six Best Paper Awards in different IEEE Conferences. She has filed seven research patents. She has received the DST research project grant of almost Rs. 37 lakhs. She also has received the research grant of SPPU University, Pune, the International FDP grant by SPPU and also the conference grant by AICTE. She is the certified trainer and ambassador of NVDIA's Deep Learning Institute. She conferred with the "Dr. APJ Abdul Kalam Women Achievers Award" by IITech Banglore. She got awarded by Indo Global Engineering Excellence Award by Indo Global Chamber of Commerce Industries and agriculture, Also received the First award for her prototype by SERB at IIT Kanpur.

Dr. Darshan V Medhane is working as an Associate Professor and Head of department of Computer Engineering, Maratha Vidya Prasarak Samaj's KBT College of Engineering, Nashik. Formerly he was working as an Assistant Professor in Computer Science and Engineering at Indian Institute of information Technology, Pune (An institute of National Importance, established by MHRD, India). He holds a doctorate from the Vellore Institute of Technology, Vellore. He has twleve years of experience in teaching. He has published several research works in reputed peer reviewed journals like IEEE Transactions and have many SCI and Scopus indexed papers on his credit. He has published 20+ authored books and few book chapters. He completed the funded research project sanctioned by B.C.U.D., University of Pune and other by SEED, Ministry of Science and Technology. He was awarded as Best Student Award during Engineering, Best Paper Awards, University Rank holder. He is serving as reviewer for Journals of IEEE, Elsevier, Wiley, Taylor & Francis, etc. He has delivered 30+ talks on different topics. He is a member of IEEE and IET. His research interests include Cyber Physical Systems, Computational Intelligence, Evolutionary Multi objective Optimization, Position Monitoring Systems, Automata Theory, and Distributed Computing Systems.

Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation "Soft Computing and Fractal Theory for Intelligent and Manufacturing"). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. In addition, he is serving as Research Director of Computer Science and head of the research group on Hybrid Fuzzy Intelligent Systems. Currently, he is President of HAFSA (Hispanic American Fuzzy Systems Association) and Past President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). He also belongs to the Technical Committee on Fuzzy Systems of IEEE and to the Task Force on "Extensions to Type-1 Fuzzy Systems". He is also a member of NAFIPS, IFSA and IEEE. He belongs to the Mexican Research System (SNI Level 3). His research interests are in Type-2 Fuzzy Logic, Fuzzy Control, Neuro-Fuzzy and Genetic-Fuzzy hybrid approaches. He has published over 300 journal papers, 10 authored books, 90 edited books, 300 papers in conference proceedings, and more than 300 chapters in edited books, in total more than 1000 publications (according to Scopus) with h index of 89 and more than 26000 citations according to Google Scholar. He has been Guest Editor of several successful Special Issues in the past, like in the following journals: Applied Soft Computing, Intelligent Systems, Information Sciences, Soft Computing, Non-Linear Studies, Fuzzy Sets and Systems, JAMRIS and Engineering Letters. He is currently Associate Editor of the Information Sciences Journal, Journal of Engineering Applications on Artificial Intelligence, International Journal of Fuzzy Systems, Journal of Complex Intelligent Systems, Granular Computing Journal and Intelligent Systems Journal (Wiley). He was Associate Editor of Journal of Applied Soft Computing and IEEE Transactions on Fuzzy Systems. He has been elected IFSA Fellow in 2015 and MICAI Fellow in 2016. Finally, he recently received the Recognition as Highly Cited Researcher in 2017 and 2018 by Clarivate Analytics and Web of Science.

Prof. Dr. Swati V Shinde已經從Swami Ramanand Teertha Marathwada University, Nanded獲得計算機科學和工程的博士學位。她擁有22年的教學經驗，目前在普內的Pimpri Chinchwad College of Engineering (PCCoE)擔任研發主任和計算機工程教授。她在PCCoE擔任資訊科技主任七年。她的研究興趣包括機器學習、深度學習、軟計算、人工神經網絡和模糊邏輯。她在知名會議和期刊上發表了100多篇研究論文。她在不同的IEEE會議上獲得了六個最佳論文獎。她申請了七項研究專利。她獲得了約370萬盧比的DST研究項目資助。她還獲得了普內大學、普內國際FDP資助和AICTE會議資助。她是NVDIA深度學習研究所的認證培訓師和大使。她獲得了IITech Banglore頒發的'Dr. APJ Abdul Kalam Women Achievers Award'。她在Indo Global Chamber of Commerce Industries and agriculture獲得了印度全球工程卓越獎，並在IIT Kanpur的SERB獲得了原型的第一獎。

Dr. Darshan V Medhane目前在納希克的Maratha Vidya Prasarak Samaj's KBT College of Engineering擔任計算機工程系副教授和系主任。他曾在印度信息技術學院的計算機科學和工程系擔任助理教授（該學院是由印度教育部設立的國家重點學院）。他在Vellore Institute of Technology, Vellore獲得博士學位。他有十二年的教學經驗。他在IEEE Transactions等知名同行評審期刊上發表了多篇研究論文，並有許多SCI和Scopus索引的論文。他出版了20多本著作和幾篇書章。他完成了由Pune大學B.C.U.D.和科學與技術部SEED資助的研究項目。他在工程期間獲得了最佳學生獎、最佳論文獎和大學排名。他擔任IEEE、Elsevier、Wiley、Taylor & Francis等期刊的審稿人。他在不同主題上發表了30多場演講。他是IEEE和IET的成員。他的研究興趣包括物聯網系統、計算智能、演化多目標優化、位置監測系統、自動機理論和分散計算系統。

Oscar Castillo擁有波蘭科學院的計算機科學科學博士學位（論文名稱為“用於智能和製造的軟計算和分形理論”）。他是墨西哥提華納的提華納工學院研究生部的計算機科學教授。此外，他還擔任混合模糊智能系統研究組的研究主任。他目前是HAFSA（Hispanic American Fuzzy Systems Association）的主席，也是IFSA（International Fuzzy Systems Association）的前主席。Castillo教授還是IEEE的模糊系統技術委員會和“對Type-1模糊系統的擴展”工作組的成員。他還是NAFIPS、IFSA和IEEE的成員。他是墨西哥研究系統（SNI Level 3）的成員。他的研究興趣包括Type-2模糊邏輯、模糊控制、神經模糊和遺傳模糊混合方法。他在期刊上發表了300多篇論文，出版了10本著作，編輯了90本書，發表了300多篇會議論文，並在編輯的書籍中發表了300多篇章節，總共超過1000篇出版物（根據Scopus），h指數為89，根據Google Scholar引用超過26000次。