Search Journal of Information and Optimization Sciences
354 results found
Optimizing homomorphic encryption for machine learning operations in cloud computing
V. Dankan Gowda, Shivoham Singh, Pullela SVVSR Kumar, Krishna Kant Dave, Hemant Kothari, T. Thiruvenkadam
May 2025
A secure and intelligent framework for autonomous driving : Enhancing vehicle trajectory prediction with LSTM-XGboost model
Abhishek Dixit, Manish Jain
May 2025
Special Issue on Statistical & Mathematical Modelling for AI-Driven Intelligent Systems in IoT and its Computation Challenges (Part-A)
Dinesh Goyal, Anil Kumar, Maria Ganzha
May 2025
Optimizing spectrum sensing performance and prediction of trustworthy users by implementing machine learning algorithms in cognitive radio network
Umakanta Samantsinghar, Srinivas Sethi, Ramesh Chandra Sahoo, Dhruba Charan Panda
May 2025
Real time data fusion and mathematical modeling techniques for intelligent IoT systems
V. Dankan Gowda, Pratik Gite, Shashikala Salekoppalu Venkataramu, Madan Mohanrao Jagtap, K.D.V. Prasad, Shyamsunder Chitta
May 2025
Leveraging machine learning for real-time optimization in large-scale information systems
Swati G. Kale, Smita N. Gambhire, Deepti Deshmukh, Dharmesh Dhabliya, Yeshil Bangera, D. J. Dahigaonkar
May 2025
Hybrid machine learning models for solving complex optimization problems in information systems
Sandip Desai, Neha Amol Rahul, Vaishali Latke, Trupti Deshmukh, Parikshit Mahalle, Laxmikant Umate
May 2025
DOEROMI : DES oriented encrypted routing of messages in IoT
Sonam, Rahul Johari
May 2025
Revolutionizing medical research with statistical analysis and management information systems integration
Trupti S. Bhosale, Arun Kumar Katkoori, R. G. Hemanth Kumar, Prashant Dhage, M. M. Thorat, Yogesh D. Deshpande
May 2025
Leveraging management sciences to optimize healthcare systems and improve patient services
Mahendra Alate, Dharmesh Dhabliya, Dhanaji Wagh, Jambi Ratna Raja Kumar, Swapna Ajay Shedge, Parth Sharma
May 2025
An optimization strategy for portfolio management leveraging deep reinforcement learning for automated stock trading
Gurunath T. Chavan, Santosh H. Lavate, Pradip Ram Selokar, Deepti Raverkar, Aniket Prakashrao Munshi, Kriti Kusum
May 2025
Exploring alternative techniques for accelerating deep learning convergence for batch normalization
Shyam Deshmukh, Bhavana Tiple, Gurunath T. Chavan, Madhura Phatak, Gaurav Gondhalekar, Rajesh B. Raut
May 2025
