Search Journal of Information and Optimization Sciences
211 results found
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 MCDM and partial computations based deadline and energy-aware real-time workflow scheduling technique for fog integrated cloud environment
Rishika Mehta, Shilpa Mahajan, Kavita Khanna
May 2025
Recent trends and applications in blockchain technology : The concept of monitoring over cryptocurrency
Gajanand Sharma, Ravi Shankar Sharma, Jitendra Kumawat, Shekhar Kumar Swarnkar, Gaurav Kumar Sharma, Geerija Lavania
May 2025
Semantic web empowered prediction of cervical cancer through machine learning on cloud platform using SemanticAutoMLCloud
Sheetal Agarwal, Rupal Gupta
May 2025
Sentinel AI : Pioneering cyber threat detection and mitigation through advanced machine learning
Vandana Agarwal, Navnish Goel, Manish Sharma, Aditya Agarwal, Nisha Gupta, Sheetal Yadav
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 homomorphic encryption for machine learning operations in cloud computing
V. Dankan Gowda, Shivoham Singh, Pullela SVVSR Kumar, Krishna Kant Dave, Hemant Kothari, T. Thiruvenkadam
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
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
