most citedAn Explainable AI Framework for Artificial Intelligence of Medical Things

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2025

SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks

Henry Onyeka, Emmanuel Samson, Liang Hong +3

The increasing complexity of IoT edge networks presents significant challenges for anomaly detection, particularly in identifying sophisticated Denial-of-Service (DoS) attacks and…

eess.IV2024

Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments

Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +4

Healthcare industries face challenges when experiencing rare diseases due to limited samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic d…

cs.LG20241 cited

Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis

Ekramul Haque, Kamrul Hasan, Imtiaz Ahmed +2

In the dynamic and ever-changing domain of Unmanned Aerial Vehicles (UAVs), the utmost importance lies in guaranteeing resilient and lucid security measures. This study highlights…

eess.IV2024

Empowering Healthcare through Privacy-Preserving MRI Analysis

Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +4

In the healthcare domain, Magnetic Resonance Imaging (MRI) assumes a pivotal role, as it employs Artificial Intelligence (AI) and Machine Learning (ML) methodologies to extract inv…

cs.CV20242 cited

An Explainable AI Framework for Artificial Intelligence of Medical Things

Al Amin, Kamrul Hasan, Saleh Zein-Sabatto +3

The healthcare industry has been revolutionized by the convergence of Artificial Intelligence of Medical Things (AIoMT), allowing advanced data-driven solutions to improve healthca…