商品描述
This proceedings volume presents 41 high-quality research contributions at the forefront of soft computing theory and applications and real-world impact. The third volume from this conference, its chapters reflect the current trajectory of soft computing research, covering advances in machine learning, neural networks, fuzzy systems, nature-inspired algorithms, and big data analytics. Applications discussed range across critical domains such as healthcare, education, legal systems, cybersecurity, environmental monitoring, and industrial automation. Noteworthy contributions include studies on smart assistive devices for Alzheimer's patients, intelligent classification of recycled materials, and AI-based criminal face detection systems. On the theoretical side, the volume includes novel algorithmic developments such as the Shuffled Flamingo Search Algorithm and structural insights into swarm-based optimisation. The volume illustrates how soft computing continues to address complex real-world problems through adaptive, scalable, and human-centric approaches. It also captures the spirit of interdisciplinary engagement, with contributions from early-career researchers alongside seasoned academics, enriching the community's collaborative potential. This book will be of interest to researchers, engineers, practitioners, and postgraduate students working in artificial intelligence, optimisation, and computational intelligence, particularly those interested in the translational impact of soft computing across diverse sectors.
商品描述(中文翻譯)
本論文集呈現了41篇高品質的研究貢獻，位於軟計算理論與應用及其對現實世界影響的最前沿。這是本次會議的第三卷，其章節反映了軟計算研究的當前發展趨勢，涵蓋了機器學習、神經網絡、模糊系統、自然啟發算法及大數據分析的進展。討論的應用範圍涵蓋了關鍵領域，如醫療保健、教育、法律系統、網絡安全、環境監測及工業自動化。值得注意的貢獻包括針對阿茲海默症患者的智能輔助設備研究、回收材料的智能分類以及基於人工智慧的犯罪面部識別系統。在理論方面，本卷包括了新穎的算法開發，如洗牌火烈鳥搜尋算法（Shuffled Flamingo Search Algorithm）及對基於群體的優化的結構性見解。
本卷展示了軟計算如何通過適應性、可擴展性和以人為本的方法持續解決複雜的現實世界問題。它還捕捉了跨學科合作的精神，早期職業研究者與資深學者的貢獻豐富了社群的合作潛力。本書將吸引從事人工智慧、優化及計算智能的研究人員、工程師、實務工作者及研究生，特別是那些對軟計算在各個領域的轉化影響感興趣的人士。
作者簡介
Kusum Deep is Emeritus Professor with the Department of Mathematics, as well as Joint Faculty at the MF School of Data Science and Artificial Intelligence, at the Indian Institute of Technology (IIT) Roorkee, India. She is Visiting Professor, Liverpool Hope University, UK. She is a post-doctoral Fellow at Loughborough University, UK, assisted by International Bursary funded by Commission of European Communities, Brussels. She has won numerous awards like Khosla Research Award; UGC Career Award; Starred Performer of IITR Faculty; special facilitation in memory of late Prof. M. C. Puri; AIAP Excellence Award. She is features in the ebook "Women in STEM-2021" celebrating contributions made by 50 Indian women in STEM published by Confederation of Indian Industries. She falls within top 2% of scientists in the world since 2019 till date (Stanford University). In 2021 she bagged the prestigious POWER grant awarded by SERB-DST, Govt. of India. Since 2022 she is leading a collaborative consultancy project on AI and Machine Learning funded by Deloitte. She has authored two books, supervised 24 PhDs, and published 135 research papers. She is one of the Editors of Engineering Applications of Artificial Intelligence and many reputed journals. Her research interests are nature inspired optimization techniques, particularly evolutionary algorithms and swarm intelligence techniques and their applications to solve real life problems as well as artificial intelligence and machine learning. Millie Pant is Professor at the Department of Applied Mathematics and Scientific Computing (DAMSC), Saharanpur Campus of Indian Institute of Technology Roorkee, joint faculty at the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Technology Roorkee and adjunct faculty at AIT Thailand, Bangkok. Her expertise is in optimization algorithms, soft computing techniques, image processing, and decision-making processes. She has published more than 200 research articles in various journals and conferences of national and international repute. She has supervised 14 Ph.D. students and currently 10 students are doing Ph.D. under her supervision. She has completed 4 bilateral sponsored projects with Germany and Russia, UK and Czech Republic and two national projects sponsored by DST and DRDO. She has conducted several short-term courses sponsored by Deloitte, TSW, DST, and QIP in the areas of optimization, evolutionary algorithms, and artificial intelligence. She is one of the founder chairs for SocProS conferences and has been the chair of several other conferences as well. Atulya K. Nagar is Foundation Chair and Professor of Mathematical Sciences, currently serving as Pro-Vice-Chancellor for Research at Liverpool Hope University, UK. He previously held leadership roles as Founding Dean of the Faculty of Science and inaugural Head of the School of Mathematics, Computer Science and Engineering at the institution. Before joining Liverpool Hope in 2001, he held academic posts at the University of York, Brunel University London, and others. He holds visiting professorships at several leading Indian institutions, including IIT Roorkee, South Asian University, and the University of Madras, where he was appointed as the Sir CV Raman Chair, supported by the Nobel laureate Sir CV Raman Endowment funds. Internationally recognised, his research focuses on nonlinear mathematics and computational methods with real-world applications in science and industry. He has authored over 550 publications, edited volumes on applied mathematics and AI, and co-edits two Springer book series. He serves on editorial boards and has been Editor-in-Chief of prestigious AI and Mathematics journals. He sits on strategic bodies including the JISC Research Strategy Group, UKRI Talent Panel College, REF-2029 People, Culture and Environment (PCE) Pilot Panel, and EPSRC's Impact Accelerator Panel. He is a Fellow of the Institute of Mathematics and its Applications (FIMA) and a Fellow of the Higher Education Academy (FHEA).
作者簡介(中文翻譯)
Kusum Deep 是印度羅爾基工業大學 (IIT Roorkee) 數學系的名譽教授，同時也是數據科學與人工智慧MF學校的聯合教職。她是英國利物浦霍普大學的訪問教授。她曾在英國拉夫堡大學擔任博士後研究員，並獲得歐洲共同體委員會資助的國際獎學金。她獲得了多項獎項，如 Khosla 研究獎、UGC 職業獎、IITR 教職員星級表現獎、紀念已故 M. C. Puri 教授的特別表彰以及 AIAP 卓越獎。她在電子書《女性在 STEM-2021》中亮相，該書慶祝了 50 位印度女性在 STEM 領域的貢獻，由印度工業聯合會出版。自 2019 年以來，她在全球科學家中排名前 2%（斯坦福大學）。在 2021 年，她獲得了印度政府 SERB-DST 頒發的著名 POWER 資助。自 2022 年以來，她領導了一個由德勤資助的人工智慧和機器學習的合作諮詢項目。她著有兩本書，指導了 24 位博士生，並發表了 135 篇研究論文。她是《人工智慧的工程應用》及多本知名期刊的編輯之一。她的研究興趣包括自然啟發的優化技術，特別是進化算法和群體智慧技術及其在解決現實問題中的應用，以及人工智慧和機器學習。
Millie Pant 是印度羅爾基工業大學 (IIT Roorkee) 應用數學與科學計算系 (DAMSC) 的教授，並在數據科學與人工智慧梅赫塔家庭學校擔任聯合教職，同時也是泰國AIT的兼任教職。她的專長包括優化算法、軟計算技術、影像處理和決策過程。她在各種國內外知名期刊和會議上發表了超過 200 篇研究文章。她指導了 14 位博士生，目前有 10 位學生在她的指導下攻讀博士學位。她已完成與德國和俄羅斯、英國和捷克共和國的 4 個雙邊贊助項目，以及兩個由 DST 和 DRDO 贊助的國家項目。她還舉辦了多個由德勤、TSW、DST 和 QIP 贊助的短期課程，涵蓋優化、進化算法和人工智慧等領域。她是 SocProS 會議的創始主席之一，並曾擔任其他多個會議的主席。
Atulya K. Nagar 是數學科學的創始主席和教授，目前擔任英國利物浦霍普大學的研究副校長。他曾擔任該機構科學學院的創始院長和數學、計算機科學與工程學院的首任院長。在 2001 年加入利物浦霍普大學之前，他曾在約克大學、倫敦布魯內爾大學等學術機構任職。他在多所印度頂尖機構擔任訪問教授，包括 IIT Roorkee、南亞大學和馬德拉斯大學，並被任命為 Sir CV Raman Chair，該職位由諾貝爾獎得主 Sir CV Raman 基金支持。他的研究在國際上受到認可，專注於非線性數學和計算方法，並在科學和工業中具有實際應用。他已發表超過 550 篇出版物，編輯了應用數學和人工智慧的專著，並共同編輯了兩個 Springer 書系列。他擔任編輯委員會成員，並曾擔任多本知名人工智慧和數學期刊的主編。他還參與了包括 JISC 研究戰略小組、UKRI 人才小組、REF-2029 人員、文化與環境 (PCE) 試點小組以及 EPSRC 的影響加速器小組等戰略機構。他是數學及其應用學會 (FIMA) 的院士，也是高等教育學院 (FHEA) 的院士。
