AI for Knowledge Synthesis and Predictions

Proceedings of the 13th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2025), Volume 5
Erscheinungsjahr 2026
ISBN: 978-3-032-20120-1
Verlag: Springer

Buch, Englisch, Band 480, 559 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1025 g

Reihe: Smart Innovation, Systems and Technologies

The book presents the proceedings of the 13th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2025), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6–7, 2025. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.

Zielgruppe

Research

Autoren/Hrsg.

Bhateja, Vikrant

Tang, Jinshan

Peer, Peter

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Zero Knowledge Proofs Demystified.- Introducing Mechatronics and Mechanical Engineering Students to the Use of Artificial Intelligence through Machine Learning Tools.- A Study on the Artificial Intelligence Model Using Various Pre processing Techniques for Crack Detection in Buildings.

Über Autor(innen)

Vikrant Bhateja is associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as Head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as “Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, four papers have received “Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 55 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 25 keynotes, invited talks in international conferences, ATAL, TEQIP and other AICTE sponsored FDPs and STTPs. He has been Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR) an ACM & DBLP indexed journal from 2017-22. He has guest edited Special Issues in reputed SCIE indexed journals under SpringerNature and Elsevier. He is Senior Member of IEEE and Life Member of CSI.

Jinshan Tang is a professor of Health Informatics in the Department of Health Administration and Policy. Before joining George Mason University, Dr. Tang was a full professor in the College of Computing at Michigan Technological University and a Founding Director of the Joint Center for Biocomputing and Digital Health. Dr. Tang’s research covers broad areas related to image processing and artificial intelligence. His specific research interests include biomedical image analysis, biomedical imaging, artificial intelligence in medicine (e.g., computer-aided cancer detection, AI for COVID-19 detection). He has obtained over three million dollars grants as a PI or Co-PI and has published more than 110+ refereed journal and conference papers. He has also served as a committee member at various international conferences. He is a senior member of IEEE and a Co-chair of the Technical Committee on Information Assurance and Intelligent Multimedia-Mobile Communications, IEEE SMC society.

Peter Peer is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana (UL), Slovenia, where he heads the Computer Vision Laboratory, is a member of the faculty senate, a member of the Faculty management board, and coordinates the double degree study program with the Kyungpook National University (KNU), South Korea. He received his PhD in computer science from UL in 2003. Within his post-doctorate he was an invited researcher at CEIT, San Sebastian, Spain. His research interests focus on biometrics and computer vision. He participated in several national and EU funded R&D projects and published over 120 research papers in leading international peer reviewed journals and conferences. He is a co-organizer of a number of competitions at top-tier biometrics conferences. He serves as an executive editor at ICT Express, as an associated editor of IET Biometrics and IEEE Access, and as a topical advisory panel member of MDPI Applied Sciences. He is a member of the EAB, IAPR, and IEEE. Each year he reviews for top-tier conferences. In the past he also served as a chairman of the Slovenian IEEE Computer chapter for four years and guest edited a number of special issues in different SCI journals. He was a guest professor at the North-Caucasus Federal University and KNU and served at the Faculty as a vice-dean for economic affairs for four years.