5 citations · 8 across the 8 of their papers we have counts for
8 papers
Optimizing Visual Analytics Workflows: From Theory to Practice
Philip Beaucamp, Alfie Abdul-Rahman, Rita Borgo +5
The principle of visual analytics (VA) is to provide integrated workflows where human-centric processes (e.g., visualization and interaction) and machine-centric processes (e.g., s…
SolarFCD: A Large-Scale Dataset and Benchmark for Solar Fault Classification in Photovoltaic Systems
Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman +4
The increasing global deployment of solar photovoltaic (PV) systems needs robust, scalable, and automated inspection technologies capable of detecting a wide range of panel flaws u…
Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach
Hasaan Maqsood, Saif Ur Rehman Khan, Sebastian Vollmer +2
Diabetic retinopathy screening traditionally relies on fundus photography, requiring specialized equipment and expertise often unavailable in primary care and resource limited sett…
StructDamage:A Large Scale Unified Crack and Surface Defect Dataset for Robust Structural Damage Detection
Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman +3
Automated detection and classification of structural cracks and surface defects is a critical challenge in civil engineering, infrastructure maintenance, and heritage preservation.…
Dynamic Weight Adjustment for Knowledge Distillation: Leveraging Vision Transformer for High-Accuracy Lung Cancer Detection and Real-Time Deployment
Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian Vollmer +1
This paper presents the FuzzyDistillViT-MobileNet model, a novel approach for lung cancer (LC) classification, leveraging dynamic fuzzy logic-driven knowledge distillation (KD) to…
FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views
Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian Vollmer +1
The framework is designed to improve performance in the analysis of combined as well as single anatomical perspectives for MRI disease diagnosis. It specifically addresses the perf…
Temperature-Driven Robust Disease Detection in Brain and Gastrointestinal Disorders via Context-Aware Adaptive Knowledge Distillation
Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian Vollmer +1
Medical disease prediction, particularly through imaging, remains a challenging task due to the complexity and variability of medical data, including noise, ambiguity, and differin…
AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network
Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian Vollmer +1
Diabetic retinopathy is a leading cause of blindness in diabetic patients and early detection plays a crucial role in preventing vision loss. Traditional diagnostic methods are oft…