Search Journal of Information and Optimization Sciences
433 results found
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
AI-driven green testing : Optimizing efficiency and sustainability in software testing
Manoj Kumar Singhal, Chhaya Gunawat
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
Adaptive noise injection techniques for optimizing deep learning models under adversarial attacks
Araddhana Arvind Deshmukh, Priyanka S. Dhumal, Shankar M. Patil, Samir N. Ajani, Gaurav Gondhalekar, Ajay Kumar Mehta, Saurabh Bhattacharya
May 2025
A framework for multi-task learning optimization in deep neural networks : Balancing task priorities for improved performance
Ravindra K. Moje, Bhavana Tiple, Shankar M. Patil, Tushar Jadhav, Aniket Prakashrao Munshi, Akshay Revekar
May 2025
