Intelligent Strategies for ICT: Proceedings of ICTCS 2025, Volume 12

Author:   M. Shamim Kaiser ,  Juanying Xie ,  Amit Joshi
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032206022


Pages:   549
Publication Date:   30 April 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Intelligent Strategies for ICT: Proceedings of ICTCS 2025, Volume 12


Overview

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.

Full Product Details

Author:   M. Shamim Kaiser ,  Juanying Xie ,  Amit Joshi
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032206022


ISBN 10:   3032206022
Pages:   549
Publication Date:   30 April 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Study of Work-Life Balance Challenges Among Married Female Nurses.- Dynamic Royalty Distribution for Music NFTs Using Smart Contracts.- Unveiling the Unspoken: Analyzing Depression Causes with Machine and Deep Learning.- Decentralized Identity Management System Using Blockchain.- AI-Powered DDoS Attack Detection and Mitigation System.- Sensor-based Human Activity Recognition Using Machine Learning and Deep Learning Approaches- A Comparative Study.- Balancing Secrecy and Power Efficiency in Wireless Systems Using Adaptive Pre-Processing Filters.- Toward Transparent AI in Gynecology: An Endometriosis Classifier with LIME-Based Explanations.- Kafka-Powered, Grafana-Driven: Live Stock Market Insights at a Glance.- Precision Agriculture: Combining Agro-Meteorological, Farm-Level, and Remote Sensing Data to Predict Regional Yields.

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Author Information

Dr. M. Shamim Kaiser is a professor and ex-director at the Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh. He earned his bachelor’s and master’s degrees in applied physics, Electronics, and Communication Engineering from the University of Dhaka in 2002 and 2004, respectively, and his Ph.D. in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. With a strong research background, Dr. Kaiser served as a postdoctoral fellow at Anglia Ruskin University, UK, and Cambridge University, UK (2017–2018), and as a special research student at Tohoku University, Japan (2008). His research spans Data Analytics, Machine Learning, Wireless Networks & Signal Processing, Cognitive Radio Networks, IoT, Healthcare Informatics, and Cybersecurity. He has published over 300 peer-reviewed papers in renowned journals and conferences. Dr. Juanying Xie is currently a Professor with Shaanxi Normal University, Xi'an, China. Dr. Juanying Xie has been a full professor at the School of Computer Science of Shaanxi Normal University in PR China. Dr. Juanying Xie  research interests include machine learning, data mining, and biomedical data analysis and has published around 50 research papers and published 2 monograph books. Dr. Juanying Xie has been an associate editor of Health Information Science and Systems and has been a program committee member of several international conferences, such as the International Conference on Health Information Science. Dr. Juanying Xie has been a senior member of China Computer Federation (CCF), and a member of Chinese Association for Artificial Intelligence (CAAI), and a member of Artificial Intelligence and Pattern Recognition Committee of CCF, and a member of Machine Learning Committee of CAAI, etc. 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.

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