activity
20202026
most citedEnhancing Cybersecurity in Critical Infrastructure with LLM-Assisted Explainable IoT Systems

10 citations · 29 across the 16 of their papers we have counts for

collaborators
Showing cs.LGShow all

6 papers · 1 filter

cs.LG2026★ 1 cited

D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection

Ghazal Ghajari, Elaheh Ghajari, Ashutosh Ghimire +3

Anomaly detection is a fundamental component of intelligent systems with applications in healthcare, cybersecurity, smart grids, and IoT environments. Although conventional machine…

cs.LG2026

Fully Autonomous Z-Score-Based TinyML Anomaly Detection on Resource-Constrained MCUs Using Power Side-Channel Data

Abdulrahman Albaiz, Fathi Amsaad

This paper presents a fully autonomous Tiny Machine Learning (TinyML) Z-Score-based anomaly detection system deployed on a low-power microcontroller for real-time monitoring of app…

cs.LG2026

K-Means Based TinyML Anomaly Detection and Distributed Model Reuse via the Distributed Internet of Learning (DIoL)

Abdulrahman Albaiz, Fathi Amsaad

This paper presents a lightweight K-Means anomaly detection model and a distributed model-sharing workflow designed for resource-constrained microcontrollers (MCUs). Using real pow…

cs.LG2025★ 1 cited

Unsupervised Learning: Comparative Analysis of Clustering Techniques on High-Dimensional Data

Vishnu Vardhan Baligodugula, Fathi Amsaad

This paper presents a comprehensive comparative analysis of prominent clustering algorithms K-means, DBSCAN, and Spectral Clustering on high-dimensional datasets. We introduce a no…

cs.LG2024★ 4 cited

Hybrid Efficient Unsupervised Anomaly Detection for Early Pandemic Case Identification

Ghazal Ghajari, Mithun Kumar PK, Fathi Amsaad

Unsupervised anomaly detection is a promising technique for identifying unusual patterns in data without the need for labeled training examples. This approach is particularly valua…

cs.LG2024★ 1 cited

AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI

K M Tawsik Jawad, Anusha Verma, Fathi Amsaad +1

Chronic Kidney Disease (CKD) is one of the widespread Chronic diseases with no known ultimo cure and high morbidity. Research demonstrates that progressive Chronic Kidney Disease (…