Search Journal of Information and Optimization Sciences
364 results found
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
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
AI-driven green testing : Optimizing efficiency and sustainability in software testing
Manoj Kumar Singhal, Chhaya Gunawat
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
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
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
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
