UVAS SWAT

1. Umar Islam el al. “Adaptive Federated Learning Framework for Privacy Preserving Consumer-Centric IoMT: A Novel Secure Data Collaboration Model”, IEEE Transactions on Consumer Electronics. 2025.
2. Umar Islam et al. “Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers”, Scientific Reports, 2025.
3. Wasim Ahmad, Umar Islam et al. “Enhancing reliable and energy-efficient UAV communications with RIS and deep reinforcement learning”, Peerj Computer Science, 2025.
4. Umar Islam et al. “A Hybrid Fog-Edge Computing Architecture for Real-Time Health Monitoring in IoMT Systems with Optimized Latency and Threat Resilience”, Scientific Reports, 2025.
5. Umar Islam et al. “Enhancing Physical Security in IIoMT Environment”, Internet of Things, 2025.
6. Umar Islam et al. “AI-Enhanced Intrusion Detection in Smart Renewable Energy Grids: A Novel Industry 4.0 Cyber Threat Management Approach”, International Journal of Critical Infrastructure Protection, 2025.
7. Almanasir, Rasha, Deyaa Al-solomon, Saif Indrawes, Mohammed Almaiah, Umar Islam, and Marwan Alshar'e. "Classification of threats and countermeasures of cloud computing", Journal of Cyber Security and Risk Auditing, 2025.
8. Umar Islam et al. "Hyperdynamic Adaptive Learning Fusion (HALF) model for superior predictive analytics in E-learning", Neural Computing and Applications, 2025.
9. Umar Islam et al. "An Ontological Approach to Investigate the Impact of Deep Convolutional Neural Networks in Anomaly Detection of Left Ventricular Hypertrophy Using Echocardiography Images", Image and Vision Computing, 2025.
10. Umar Islam et al. "Enhancing Blockchain Security Against Data Tampering: Leveraging Hybrid Model in Multimedia Forensics and Multi-Party Computation for Supply Chain Data Protection", IEEE Access, 2024.
11. Umar Islam et al. "Empowering Global Ethereum Price Prediction With Ethervoyant: A State-Of-The-Art Time Series Forecasting Model", Neural Computing and Applications, 2024.
12. Umar Islam et al. "Sentinelfusion Based Machine Learning Comprehensive Approach for Enhanced Computer Forensics", PeerJ Computer Science, 2024.
13. Umar Islam et al. "NeuroHealth Guardian: A Novel Hybrid Approach for Precision Brain Stroke Prediction and Healthcare Analytics", Journal of Neuroscience Methods, 2024.
14. Umar Islam et al. "Detection of Renal Cell Hydronephrosis in Ultrasound Kidney Images: A Study on the Efficacy of Deep Convolutional Neural Networks", Peerj Computer Science, 2024.
15. Umar Islam et al. "Enhancing Economic Stability with Innovative Crude Oil Price Prediction and Policy Uncertainty Mitigation in USD Energy Stock Markets", Fluctuation and Noise Letters, 2024.
16. Umar Islam et al. "Real-Time Detection Schemes for Memory DoS (M-DoS) Attacks on Cloud Computing Applications", IEEE Access, 2023.
17. Umar Islam et al. "Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data", Sensors, 2023.
18. Umar Islam et al. "A Novel Anomaly Detection System on the Internet of Railways Using Extended Neural Networks", Electronics, 2022.
19. Umar Islam et al. "Detection of Distributed Denial of Service (DDoS) Attacks in IOT-based Monitoring System of Banking Sector Using Machine Learning Models", Sustainability, 2022.
20. Rahim, Asif, Yanru Zhong, Tariq Ahmad, and Umar Islam, "An Intelligent Approach for Preserving the Privacy and Security of a Smart Home Based on IoT Using LogitBoost Techniques", Journal of Hunan University Natural Sciences, 2022.
21. Hameed, Mazhar, Fengbao Yang, Muhammad Imran Ghafoor, Fawwad Hassan Jaskani, Umar Islam, Muhammad Fayaz, and Gulzar Mehmood. "IOTA-based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms", Wireless Communications and Mobile Computing, 2022.
22. Arif, Muhammad, Anwar Ullah, Sadam Al-Azani, Valentina Emilia Balas, Oana Geman, Muhammad Jalal Khan, and Umar Islam. "Comparative Analysis of Various Image Splicing Algorithms", In International Workshop Soft Computing Applications, pp. 211- 228. Springer, Cham, 2018.