Proceedings of International Conference on Computing Systems and Intelligent Applications
Description
The book is a collection of the high-quality research articles presented at International Conference on Computing Systems and Intelligent Applications (ComSIA 2026), organized by Shaheed Rajguru College of Applied Sciences, University of Delhi, India, during March 2026. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of software engineering and automation, intelligent systems, data science and engineering, networks and data communication, internet of things, hardware architecture and communication technologies, cyber security and data privacy, and intelligent systems and automation.
More details
Persons
Dr. Ajay Jaiswal is currently serving as Assistant Professor in the Department of Computer Science of Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He is Co-Editor of two books/journals and Co-Author of dozens of research publications in international journals and conference proceedings. His research interest includes pattern recognition, image processing, and machine learning. He has completed an interdisciplinary project titled "Financial Inclusion-Issues and Challenges: An Empirical Study" as Co-PI. This project was awarded by the University of Delhi. He obtained his master's from the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi. He is Recipient of the best teacher award from the Government of NCT of Delhi. He has more than nineteen years of teaching experience.
Dr. Sameer Anand is currently working as Assistant Professor in the Department of Computer Science at Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He received his M.Sc., M.Phil., and Ph.D. (software reliability) from Department of Operational Research, University of Delhi. He is Recipient of "Best Teacher Award" (2012) instituted by Directorate of Higher Education, Govt. of NCT, Delhi. The research interest of Dr. Anand includes operational research, software reliability, and machine learning. He has completed an innovation project from the University of Delhi. He has worked in different capacities in international conferences. Dr. Anand has published several papers in the reputed journals like IEEE Transactions on Reliability, International journal of production research (Taylor & Francis), International Journal of Performability Engineering, etc. He is Member of Society for Reliability Engineering, Quality, and Operations Management. Dr. Sameer Anand has more than 16 years of teaching experience.
Prof. Aboul Ella Hassanein is Founder and Head of the Egyptian Scientific Research Group (SRGE) and Professor of Information Technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien is Ex-Dean of the Faculty of Computers and Information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks, and smart environment. Prof. Hassanien won several awards, including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the scientific-University Award (Cairo University, 2013). Also, he was honored in Egypt as Best Researcher at Cairo University in 2013.
Content
Performance Benchmarking of Gradient Boosting Ensembles Vs Machine Learning and Advanced Deep Learning models for Hourly Air Quality Index (AQI) Forecasting.- Inflation Rate Forecasting of India using a Hybrid ARIMA Bidirectional LSTM with Attention Framework and XGBoost Residual Correction.- Advanced Deep Learning Techniques for Detecting Lung Cancer from Medical Images A Comprehensive Review and Analysis.- An Improved Algorithm for Small Target Detection in Remote Sensing Imagery Based on Dynamic Convolution.- Autonomous Agentic Artificial Intelligence Framework for Scalable Content Generation.- Supply Chain Optimization Using Graph Heuristics A Scalable and Interpretable Framework.- Personalized Context Aware Web Based Framework for 3D Virtual Try On with Instant Mesh Reconstruction and Measurement Driven Avatars.