Search Journal of Information and Optimization Sciences
211 results found
Edge aware directional coding (EADC) for face expression recognition
P. Surekha, P. Vidya Sagar, G. Ramesh
May 2025
Enhancing machine learning robustness against adversarial attacks through cryptographic techniques
V. Dankan Gowda, Pullela SVVSR Kumar, Praveen Damacharla, Manoj Tarambale, Prasanna Kumar Lakineni, Kalavakolanu Sripathi
May 2025
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
AI-driven green testing : Optimizing efficiency and sustainability in software testing
Manoj Kumar Singhal, Chhaya Gunawat
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
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
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
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
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
