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      1. Data och IT
      2. Systemvetenskap och AI
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      • Nyhet

      Hybrid Intelligence: Theories and Applications

      Proceedings of HITA 2025, Volume 1

      AvChang Wook Ahn,Gopinath Palai

      Häftad, Engelska, 2026

      Del i serien Lecture Notes in Networks and Systems

      3 001 kr

      Beställningsvara. Skickas inom 11-20 vardagar. Fri frakt över 249 kr.

      Beskrivning

      This book presents selected papers from International Conference on Hybrid Intelligence: Theories and Applications (HITA 2025), held in Sri Sri University, Cuttack, Odisha, India during 20 – 21 November 2025. The topics covered in the book are fuzzy set theory, machine learning algorithms, machine learning models, deep learning, neural networks, natural language processing, swarm intelligence, metaheuristics, bio-inspired computing, and evolutionary intelligence.

      Produktinformation

      • Utgivningsdatum:2026-09-24
      • Mått:155 x 235 x undefined mm
      • Format:Häftad
      • Språk:Engelska
      • Serie:Lecture Notes in Networks and Systems
      • Antal sidor:368
      • Förlag:Springer Nature Switzerland AG
      • ISBN:9783032195203

      Utforska kategorier

      • Artificiell intelligens inom Data och IT
      • Systemvetenskap och AI inom Data och IT

      Mer om författaren

      Prof. Chang Wook Ahn received the Ph.D. degree from the Department of Information and Communications, GIST, in 2005. From 2005 to 2007, he was with the Samsung Advanced Institute of Technology, South Korea. From 2007 to 2008, he was Research Professor at GIST. From 2008 to 2016, he was Assistant/Associate Professor in the Department of Computer Engineering, Sungkyunkwan University (SKKU), South Korea. He is currently Director of MEMI (Meta-Evolutionary Machine Intelligence) Lab and Professor with the School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), South Korea. His research interests include genetic algorithms/programming, multi-objective optimization, evolutionary neural networks, and quantum machine learning. Dr. Gopinath Palai is a distinguished Professor of Electronics at Sri Sri University, Cuttack, Odisha, India, with an impressive academic and research background. Holding an M.Tech in Electronic Computing, a PhD in Photonic computing, and a postdoctoral fellowship in Quantum Computing, Dr. Palai is an alumnus of IIT Kharagpur and the Singapore Institute of Technology. His expertise spans integrated circuits, sensor technology, communication, computing, and machine learning, with over 200 publications in SCI/SCIE/SCOPUS-indexed journals. He is an active member of prestigious organizations like IEEE and IETE and has guided numerous PhD scholars. Dr. Palai has authored four books and holds several patents, reflecting his innovative contributions. Dr. Om Prakash Verma is presently associated with Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India since January 2018 as an Assistant Professor in the Department of Instrumentation and Control Engineering. He has almost 11 years of teaching experience. He did his Ph.D. from IIT Roorkee, M.Tech. from Dr. B R Ambedkar NIT Jalandhar and B.E. from Dr. B R Ambedkar University Agra. He is presently working on ISRO Sponsored Project as a PI. He has edited a book on Soft Computing: Theories and Applications and has been a potential reviewer of several International Journals of high repute. He has published more than 30 research papers in SCI/Scopus/ESI indexed Journals.  Dr. Deepak Panwar is an accomplished academic and researcher in the field of Computer Science and Engineering. He holds a B. Tech, M. Tech, and Ph.D. in CSE and is currently serving as an Associate Professor and Head, Dept of Artificial Intelligence and Machine Learning at Manipal University Jaipur, India. With a strong research background, Dr. Panwar has published numerous papers in Web of Science and Scopus-indexed journals and has actively participated in prestigious international conferences. His core research areas include Computational Intelligence, Artificial Intelligence & Machine Learning (AIML), and Network Security. Dr. Panwar is deeply involved in exploring innovative solutions for real-world problems through AI-driven methodologies, secure networking protocols, and intelligent computational models. Dr. Tarun Kumar Sharma is the Professor & Research Mentor - CSE, School of Engineering & Technology, Shobhit University, Meerut, India. Prior to this, he was a Professor at Graphic Era Hill University Dehradun where he taught from July 2019 – May 2020.  His profile includes a stint of over 6 years at Associate Professor & Head – Department of Computer Science & Engineering / IT as well as Alternate Director – Outcome, Amity University Rajasthan, Jaipur. He obtained his doctorate from Indian Institute of Technology (IIT) Roorkee, making a seminal contribution to the area of Computational Intelligence. He has supervised 6 Ph.D. and 6 are in process. He has over 200 research publications in International Journals (SCI & SCOPUS), Chapters in edited books, Conferences of repute (Scopus) and has around 2000 Google citations to his research work.

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