Yang / Sherratt / Dey Proceedings of Tenth International Congress on Information and Communication Technology

ICICT 2025, London, Volume 5
1. Auflage 2025
ISBN: 978-981-966932-5
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 613 Seiten

Reihe: Engineering

This book gathers selected high-quality research papers presented at the Tenth International Congress on Information and Communication Technology (ICICT 2025), held in London, on February 18–21, 2025. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers working on ICT, the book offers an asset for young researchers involved in advanced studies. The work is presented in ten volumes.

Zielgruppe

Research

Autoren/Hrsg.

Yang, Xin-She

Sherratt, R. Simon

Dey, Nilanjan

Joshi, Amit

Inhaltsverzeichnis

Chapter 1: Information and communication technology as an enabler of knowledge management at a South African University.- Chapter 2: Strategies for Culturally Responsive AI in Education: Mitigating Bias and Enhancing Student Outcomes.- Chapter 3: Analyzing the Structure of Groupoids of order 3, 4, and 5 Using PCA.- Chapter 4: The Implementation of Intelligent Systems to Enhance Crisis Resilience in the Healthcare Sector: A Comparative Analysis with the Balanced Scorecard Method.- Chapter 5: Strengthening the Role of Cooperatives in Indonesia's Economy: Challenges, Opportunities, and Strategic Frameworks.- Chapter 6: A Multi-Domain Adaptive Deep Learning Approach for Sentimental Classification Optimization.- Chapter 7: Design and Implementation of a Secure and Efficient Blockchain-Based Investment Platform with PBFT Consensus.- Chapter 8: Obesity Level Prediction Using Machine Learning.- Chapter 9: Automated Detection of Potholes and Speed Bumps Using Deep Learning.- Chapter 10: Insurance Fraud Detection using Machine Learning.- Chapter 11: A Reduced Order Modeling for Radiation Source Identification and Localization in Incomplete Sensor Data Scenarios.-

Über Autor(innen)

Xin-She Yang obtained his D.Phil. in applied mathematics from the University of Oxford. He then worked at Cambridge University and then later at the National Physical Laboratory (UK) as Senior Research Scientist. Now he is Reader at Middlesex University London and co-Editor of the Springer Tracts in Nature-Inspired Computing. He is also Elected Fellow of the Institute of Mathematics and its Applications (FIMA), UK. He was IEEE Computational Intelligence Society (CIS) Chair for the Task Force on Business Intelligence and Knowledge Management (2015 to 2020). He has published more than 50 books and more than 400 peer-reviewed research papers with more than 90,000 citations, and he has been on the prestigious list of most influential researchers or highly-cited researchers (Web of Sciences) every year since 2016.

R. Simon Sherratt was born near Liverpool, England, in 1969. He is currently Professor of biosensors at the Department of Biomedical Engineering, University of Reading, UK. His main research area is signal processing and personal communications in consumer devices, focusing on wearable devices and health care. Professor Sherratt received the 1st place IEEE Chester Sall Memorial Award in 2006, the 2nd place in 2016, and the 3rd place in 2017.

Nilanjan Dey is Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is Visiting Fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his Ph.D. from Jadavpur University in 2015. He is Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is Associate Editor of IET Image Processing and Editorial Board Member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier, etc. He is Fellow of IETE and Senior Member of IEEE.

Amit Joshi currently serving as Director of the esteemed Global Knowledge Research Foundation, India. His academic journey includes obtaining a B.Tech. degree in information technology, an M.Tech. in computer science and engineering, and a Ph.D. focusing on the intricate fields of cloud computing and cryptography in medical imaging. He is experiencing his vision with his rich experience spanning approximately 15 years and realizing the need of globalization in education and business. His present-day interests are primarily oriented toward the critical examination of government strategies and global forum requirements across education and business sectors. His active affiliations include esteemed professional societies such as ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and more. He was also International Young ICT Chair for International Federation for Information Processing (IFIP), Austria, formed through UNESCO in 1960. He has presented and authored over 50 papers in reputable national and international journals and conferences.