Search Journal of Information and Optimization Sciences
37 results found
Graph-theoretic trust models for secure IoT and medical sensor networks
Ravindra S. Patil, Deepika Sharma, Rahul A. Padgilwar, Ramachandro Majji, L. Yamuna, N. Muninathan
Oct 2026
Graph signal processing approaches for EEG-based neural pattern discovery
Dhanaji Wagh, Varun Kumar Sharma, Sathyabalaji Kannan, Yogash Chandra Joshi, G. Sarala, Sharyu Ikhar
Oct 2026
Spectral graph theoretic analysis of large-scale network topologies with applications to secure data transmission
Jyoti L. Bangare, Nilofer Kittad, Ashwini Rajurkar
Oct 2026
Graph-based modeling and optimization of secure routing mechanisms in wireless and sensor network architectures
Sanjivani Hemant Kulkarni, Sulakshana Sagar Malwade
Oct 2026
Detailed predictive modeling of hospital readmission risk using a class-balanced machine learning approach
G. Siva Shanmugam, Akarsh Kunwar, M. Anbarasi, Ojas Nahta, Vrinda Kumar, Dhruv Jain
Sep 2026
Lightweight multi-modal malware intelligence: A unified framework for efficient graph, temporal, causal, and federated detections
Dipesh Vaya, Rakesh Kumar Saxena
Aug 2026
Hybrid CNN–transformer model for real-time drowsiness detection using eye aspect ratio & facial landmarks
Sanjay Sharma, Shashi Sharma
Aug 2026
Optimizing convolutional neural network architectures : An experimental evaluation of key parameter tuning in smart city building project
Vrushali Rajaram Kadam, Dommaraju Sireesha
Jul 2026
AI-driven optimization model for software requirement prioritization
Deepali Shahane, Babasaheb Dnyandeo Patil, Prashant Kharat, Manisha Shinde-Pawar, Vikas V. Patil
Jul 2026
A multicriteria optimization approach for maximizing flow in multiterminal networks
Bishwa Raj Adhikari, Hari Nandan Nath, Tanka Nath Dhamala
Jun 2026
Boosting inspired overlap reduction : A novel approach for reducing overlap in imbalanced classification problems
Pooja Tyagi, Jaspreeti Singh, Anjana Gosain
May 2026
GCANQGM : Design of an efficient graph convolutional AHP neural network with Deep Q generative adversarial network for classification of android malwares
Harshal Devidas Misalkar, Pon Harshavardhanan
Apr 2026
