Search Journal of Information and Optimization Sciences
27 results found
VAdam : A volatility-aware adaptive gradient optimization framework for financial time-series learning
Aditya Nagdiya, Vivek Kapoor, Vrinda Tokekar
Oct 2026
Detailed predictive modeling of hospital readmission risk using a class-balanced machine learning approach
G. Siva Shanmugam, Akarsh Kunwar, M. Anbarasi, Ojas Nahta, Vrinda Kumar, Dhruv Jain
Sep 2026
AI-inspired business models for India’s EV ecosystem using simulation framework
Miteshkumar Babuji Thakor, Chirag Rasikbhai Patel, Hani Patel, Ronak R. Modi
Sep 2026
Secure and dynamic Sharding : Advancing blockchain scalability and security through partitioned consensus and coordinated cross-shard protocols
Satpal Singh Kushwaha, Prashant Hemrajani, Varsha Himthani
Aug 2026
Adaptive multi-resource covert communication framework for embedded and distributed learning systems
Naveen Kulkarni, Mohamed Anees, M. Jyothirmai, A. Pratima, Kondru Ayyappa Swamy, T. S. Deepthi Murthy
Aug 2026
Designing an adaptive learning model for predictive database management in Internet of Things applications
Pandurang Pralhadrao Todsam, V. Dhanalakshmi, Pradnya Borkar, Sunil Thakur, Dipannita Mondal
Apr 2026
Developing a dynamic data partitioning model for multi-tenant database environments in cloud platforms
Dinesh Shravan Datar, Amit Gaurav, R. Arivukkodi, Pradnya Borkar, Aparna Shrinivas Shirkande
Apr 2026
Predicting IT graduate student’s employability using machine learning and deep learning hybrid approaches
Ankita Chopra, Madan Lal Saini, Vivek Kumar Sharma
Apr 2026
Evaluating AI convergence and performance analysis for cross transfer entropy based learning among time-lagged data employing cognitive computing framework
Rahul Maheshwari, Vivek Kapoor
Apr 2026
An integrated mathematical cognitive system employing swarm computing for convergence of artificial intelligence and knowledge representation
Rahul Maheshwari, Vivek Kapoor
Apr 2026
Developing a hybrid forecasting system for international hotel revenue : The case of Taiwan
Yi-Hui Liang
Jan 2026
Hybrid machine learning model for network traffic anomaly detection using time-series forecasting
Pratik Kumar Swain, Ansuman Patnaik, Suneeta Satpathy
Sep 2025
