Search Journal of Information and Optimization Sciences
171 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 image analytics in IoT networks : Statistical and AI models for efficient processing
V. Dankan Gowda, Galiveeti Poornima, H. L. Parashivamurthy, Sampathirao Suneetha, K.D.V. Prasad, Shyamsunder Chitta
May 2025
BHPEC : Design of an efficient model for blockchain-based healthcare privacy enhancement in clinical settings
Rubana A. Khan, Bhavna Sharma, Nita M. Thakare
May 2025
Efficient resource allocation in healthcare systems through deep learning and optimization science
Vaishali V. Raje, Sukhvinder Singh Dari, Shrikrishna N. Bamne, Prasad B. Chaudhari, Trupti S. Bhosale, Girraj Khandelwal, Vinit Khetani
May 2025
Deep learning-enhanced decision support systems for optimized health informatics solutions
Dhiraj Kumar Mane, Pranav Charkha, Nelson Nishant Kumar Lyngdoh, Prashant Ashok Patil, Priya P. Roy, Jitendra Kumawat, Vinit Khetani
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
Shaping the future of leadership through the complex role of management sciences
Jyoti Chetan Vanikar, Swati Bula Patil, Archana S. Banait, Vinit Khetani, Gaurav Gondhalekar, Yatin Gandhi
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
Performance evaluation of two stages network with undesirable outputs and weak disposability
Elahe Zaker Harofteh, Faranak Hosseinzadeh Saljooghi
May 2025
