

Beschreibung
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 1517 December 2025. This book ...
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 1517 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.
Presents high-quality research in the field of information and communication technology Features the outcomes of ICTCS 2025, held in Jaipur, India Serves as a reference resource for researchers and practitioners in academia and industry
Autorentext
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.
Inhalt
Power-Efficient Implementation of 16 × 16 Multiplier Utilizing a Novel 15:4 Compressor Architecture.- SMART NON-INVASIVE BILIRUBIN DETECTION SYSTEM USING NEAR-INFRARED SENSOR.- The future of Cybersecurity in renewable energy systems: Identifying challenges and proposing strategic solutions.- A Machine Learning-Based Framework for Detection and Mitigation of DDoS Attacks in Cloud Environments.- Data-Driven Credit Risk Modeling for Corporate Debt Issuance: A Predictive Analytics Approach.- Exploring Machine Learning Applications for Demand Forecasting and Performance Enhancement in Dairy Supply Chains.- Driver Drowsiness Detection using ESP8266 and OpenCV.- Factors influencing individual's health literacy through use of digital tools.- TAN-ZAD: TransformerAutoencoder Network for Zero-Day Attack Detection.- The Hidden Cost of Progress: A Review of Water Contamination from Electronic Waste.
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