ICT: Applications and Social Interfaces
Description
This book contains best-selected research papers presented at ICTCS 2025: Tenth International Conference on Information and Communication Technology for Competitive Strategies. The conference is organized in Jaipur, India during 15-17 December 2025. This book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. This book is presented in twelve volumes.
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Persons
Dr. Amit Joshi is currently serving as the director of the esteemed G R Scholastic LLP, India. Enhancing his vision with his rich experience spanning approximately 15 years and realizing the need of globalization in education and business. His active affiliations include esteemed professional societies such as ACM, IEEE, CSI, AMIE, IACSIT Singapore, IDES, ACEEE, NPA, and more. He has presented and authored over 50 papers in reputable national and international journals and conferences, specifically those organized by IEEE and ACM. His editorial contributions include editing over 100 books published by renowned publishers such as Springer, T&F and ACM. He has also organized over 100 national and international conference delegations and workshops in over 20 countries including the USA, Canada, major of Europe, Southeast Asia through various societies and international organizations.
Dr. Roshan Ragel was appointed as a senior lecturer in Computer Engineering at the University of Peradeniya in December 2007 and has been a professor since October 2017. He has been a professional member of the IEEE and IEEE Computer Society since 2005 and a senior member since 2014. He was a visiting research scholar at the UNSW-Sydney many times, QUT-Brisbane, UIUC-Illinois, and ANU-Canberra once each. Prof. Ragel has co-authored over 200 peer-reviewed articles on Internet of Things, Wearable Computing, Bioinformatics, and Artificial Intelligence and Machine Learning. He has won several best paper awards in conference papers, the most prolific Sri Lankan author award from Elsevier Research in 2017, and the Presidential award for scientific publication in Sri Lanka in 2018 and 2023.
Professor S. Karthik was born in Erode, India, on June 8, 1977. He obtained his M.E. in Computer Science and Engineering from Anna University Chennai and was subsequently awarded a Ph.D. in Computer Science and Engineering by Anna University of Technology, Coimbatore. Currently, he holds the position of a professor and dean in the Department of Computer Science & Engineering at SNS College of Technology, located in Saravanampatti, Coimbatore-641 035, Tamilnadu, India. Maharaja Engineering College, Avinashi, Coimbatore, where he served from June 2000 to December 2003. He then continued as an assistant professor and head from January 2004 to June 2007. Since July 2007, he has been serving as a professor at SNS College of Technology, Coimbatore. Professor S. Karthik is a life member of the Indian Society for Technical Education (ISTE), a Senior Life Member of the International Association of Computer Science and Information Technology (IACSIT).
Content
Integral Progression of AI to Deep Learning Algorithmic Sequences for Detection of Liver Cancer.- 10 Gbps RoF Transmission model at 60 GHz using NRZ for 5G Networks.- Emotion Recognition Leveraging Contextual Information from the EMOTIC Dataset.- Innovations in Prime Harmonious Labeling and Their Relevance to Communication Networks.- Machine Learning Approaches for Mitigating Distrib-uted Denial of Service Attacks: A Systematic Review of Advanced Security System.- Capital Structure Strategies: A Comparative Analysis of Indian and U.S. IT Sectors.- Document Image Analysis: A Review of Existing Approaches and Future Scope.- JurisAI: IPC Section Detection System.- The use of Honeypot-based cybersecurity in the construction sector: A Bibliometric Review.- Advancing Sustainable Agriculture through Machine Learning and Deep Learning-Based Crop Yield Prediction.