Search Journal of Information and Optimization Sciences
498 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
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
Traffic flow optimization in smart cities using queueing theory and dynamical system analysis
Shraddha Gendlal Vaidya, Sulakshana Malwade, Vivek Deshpande, Saurabh Bhattacharya, Sagar Vasantrao Joshi, Ramesh Adireddy
May 2025
DOEROMI : DES oriented encrypted routing of messages in IoT
Sonam, Rahul Johari
May 2025
Evaluating macroeconomic influences on Indian public sector banks using mathematical programming pre and post insolvency and bankruptcy code 2016 (2011-2022)
Bhavika Nemade, Jyoti Nair
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
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
Deep learning for optimized path planning in autonomous vehicles by integrating reinforcement learning with convolutional neural networks
Monali G. Dhote, Bhushan Marutirao Nanche, Parikshit Mahalle, Syed Sumera Ali, Monali Gulhane, Vijay Suresh Karwande
May 2025
