Search Journal of Information and Optimization Sciences
143 results found
Adaptive semantic fusion based scene aligned segmentation for optimizing the efficacy of multimodal video classification
Karre Rathi, T. Sasi Rooba, K. Subba Reddy
Oct 2026
Cross dimensional deep fusion learning for an efficient hyperspectral image classification
S. Tahseen Banu, K. Subba Reddy
Oct 2026
Predictive maintenance and security co-design with intelligent transportation systems
Bipin Sule, Amit Gaurav, Subhasri Telkar, Allama Prabhu, K. Shree Jayaram, Monali Gulhane
Oct 2026
Deep motion-aware representation learning for vehicle trajectory analysis
B. Swarna Jyothi, S. K. Mouleeswaran, M. Suleman Basha
Oct 2026
An adaptive hybrid feature representation framework for modelling of complex network attacks and classifications
Arikatla Annapurna, M. Thillaikarasi, K. Subba Reddy
Oct 2026
Foreword of - Special Issue on - Artificial Intelligence & Cyber Security
Piyush J Patel, Manish M Patel, Bibhabasu Mohanty
Sep 2026
SCN2Vit : Separable CNN-vision transformer with optimized transfer learning and YOLOv7 for bean leaf disease detection
N. Kumar, Mahendra Swain, Aftab Ahmed
Sep 2026
Deepfake detection using contrastive language–image pre-training (CLIP)
Swati Sah, Shivam Kumar, Ravi Prakash Chaturvedi, Ganesh Kumar Dixit, Rejwan Bin Sulaiman, Saurabh Kumar
Sep 2026
Examining trust, transparency and AI adoption on LinkedIn : Evidence from an extended UTAUT framework
Chiragkumar B. Rathod, Vinitkumar M. Mistri, Abhipsa Vagadia, Chirag Rasikbhai Patel, Bhagvan M. Karnavat
Sep 2026
AI-powered predictive analytics framework for precision prognosis in liver cancer patients
Suman Mann, Sivanesan Bala Krishnan, Amit Kumar Goel, Prasun Chakrabarti, Akanksha Mahajan
Sep 2026
A multi-modal framework for detecting fake and cloned websites using holistic web profile
S. Baghavathi Priya, D. Pradeep Raj, G. K. Tharun Kaarthik, Venkateswaran Radhakrishnan, Syed Arshad Ali
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
