Search Journal of Information and Optimization Sciences
26 results found
Implementing data compression techniques in database systems to enhance storage optimization
Pradnya Borkar, Sulabha Narendra Patil, Gagan Tiwari, E. Shalini, Shrinivas T. Shirkande
Apr 2026
Optimizing communication system security through comprehensive testing and intelligent network configurations
Ramesh Chandra Poonia, Tanya Singh, C. K. Rajashri, Dipannita Mondal, Suvarna Milind Patil
Apr 2026
Investigating the role of time factors in the effective implementation and maintenance of secure computer networks
Dipti Ganesh Korwar, Arjit Tomar, Sharyu Ikhar, Nikhil Mangrulkar, Ponmurugan Panneerselvam
Apr 2026
Privacy-preserving machine learning techniques ensuring data confidentiality and model accuracy in federated learning environments
Sinu Nambiar, Manjusha Tatiya, Kajal Sanjay Diwate, Deepika Sharma, Samir N. Ajani, Yogesh Nagargoje
Apr 2026
Graph product techniques for cordial labeling on cubic root graph structures
J. Senbagamalar, D. Ramani Bai
Apr 2026
Mathematical modeling for fault detection and anomaly identification in IoT networks
V. Dankan Gowda, Prashant A Athavale, Shilpa K Gowda, Annepu Arudra, Hariprasad Soni, R. Shekhar, Raghavendra M
Oct 2025
A review of the opportunities and challenges for SLAM application
Fu-Hsiang Kuo, Mei-Mei Lin
Oct 2025
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
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
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
