Search Journal of Information and Optimization Sciences
159 results found
Dynamic neural architecture search : A pathway to efficiently optimized deep learning models
Chetan Gode, Bhushan Marutirao Nanche, Dharmesh Dhabliya, Rahul Dnyanoba Shelke, Rajendra V. Patil, Sushma Bhosle
May 2025
Transfer learning optimization in medical imaging enhancing diagnostic accuracy with limited data sets
Prashant Patil, Sarita Charkha, Satish V. Kakade, Prashant Bansilal Patel, Pranita Kadam, Megha Garg, Shrinivas T. Shirkande
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
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
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
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
Assessing effectiveness of specialized private general insurance firms by the application of Malmquist DEA
S. Baby Latha, C. D. Nandakumar, A. Saibulla
May 2025
