7 papers
SHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection Systems
Maryam Zaman, Muhammad Khuram Shahzad
Adversarial attacks pose a serious and growing threat to Machine Learning (ML)-based Intrusion Detection Systems (IDS), where imperceptible perturbations to network flow features c…
TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrained Intelligent Enterprises
Muhammad Hadi, Muhammad Jahangir, Talha Shafique +1
Federated Learning (FL) has emerged as an effective paradigm for collaborative intelligence while preserving data privacy. However, data heterogeneity arising from non-IID distribu…
HYolo: An Intelligent IoT-Based Object Detection System Using Hypergraph Learning
Isha Abid, Fawad Khan, Muhammad Khuram Shahzad
This paper presents HYolo, an intelligent IoT-based object detection framework that integrates hypergraph learning into the YOLO architecture. Traditional YOLO-based object detecti…
ROBUST-WT: Robust Uncertainty-aware Segmentation Transform via Whitening and Training Enhancements
Aqsa Naseer, Maryam Bibi, Syeda Samiya Urooj +1
Generalized segmentation of medical images prevents performance degradation when different imaging devices and clinical protocols are used across multiple domains. The Whitening Tr…
WISE-HAR: A Generalizable Ensemble Deep Learning Framework for WiFi-Based Human Activity Recognition
Maheen Arshad, Qindeel E Zahra, Muhammad Khuram Shahzad
Human Activity Recognition (HAR) using WiFi signals has emerged as a transformative technology for smart homes, healthcare monitoring, security systems, and ambient assisted living…
MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets
Aabia Ather, Muhammad Usayd Ather, Qurat-Ul-Ain Somroo +1
This paper proposes an improved approach to the analysis of Mining Software Repositories (MSR) datasets via metadata enrichment, FAIRness assessment, and topic-driven analysis. Thi…