Area of research
Computer Networks and Communications · Information Systems
Research interest
Research interests include Service-Oriented Architecture and Web Services, Distributed systems and fault tolerance, Advanced Database Systems and Queries, and Advanced Data Storage Technologies.
Machine learning approach for the flexural strength of <scp>3D</scp>‐printed fiber‐reinforced concrete based on the meta‐heuristic algorithm
Evaluation of factors underlying differences in venous thromboembolism rates between Black and White patients
Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens
A composite risk assessment model for venous thromboembolism
Decentralized Condition Monitoring for Distributed Wind Systems: A Federated Learning-Based Approach to Enhance SCADA Data Privacy
Natural Language Processing for Breast Imaging: A Systematic Review
Ability of Caprini and Padua risk-assessment models to predict venous thromboembolism in a nationwide Veterans Affairs study
Active Semi-Supervised Learning via Bayesian Experimental Design for Lung Cancer Classification Using Low Dose Computed Tomography Scans
Systematic review of venous thromboembolism risk categories derived from Caprini score
Challenges and Issues in Data Science Education
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning