ATD Learning: A secure, smart, and decentralised learning method for big data environments
A systematic review of artificial intelligence-driven decentralized learning in healthcare: emerging techniques, applications, challenges and future directions
A comprehensive review on key technologies toward smart healthcare systems based IoT: technical aspects, challenges and future directions
LWR-Net: Learning without retraining for scalable multi-task adaptation and domain-agnostic generalisation
Explainability, Robustness, and Fairness in User-Centric Intelligent Systems: A Systematic Review
FracNet: An end-to-end deep learning framework for bone fracture detection
A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos
Robust and explainable framework to address data scarcity in diagnostic imaging
Science that proves
what we claim.
Every ATD AI capability is grounded in peer-reviewed, published research. Click any paper to access the full article at its publisher.
Want the full catalogue?
Dr Laith Alzubaidi's complete publication record — 87 articles and 18,000+ citations — is available on Google Scholar.