275 citations
- University of CyprusCY7 papers
- Zhejiang UniversityCN7 papers
- Shahrekord UniversityIR6 papers
- Sri Lanka Technological Campus4 papers
- Singapore University of Technology and DesignSG3 papers
- University of EssexGB3 papers
- University of JaffnaLK3 papers
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- Cardiff UniversityGB2 papers
- Cleveland State UniversityUS2 papers
- CSIR National Physical Laboratory of IndiaIN2 papers
84 papers
Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks
G. L. T. Chamika, S. N. A. Dhanapala, P. H. S. V. Nimalaweera +2
Metal artifacts generated by dental implants significantly degrade cone-beam computed tomography (CBCT) volumes, obscuring critical anatomical structures and compromising diagnosti…
Decoding Parkinsonian Tremor: An Explainable Framework Integrating Multi-Revolution Spatial and Spectral Dynamics of Spiral Drawings
Tharaka Wijethunge, Maheshi Dissanayake, Sajitha Weerasinghe
Parkinson's disease (PD) manifests in motor impairments that are detectable through digitized spiral drawings. This study introduces an explainable framework for PD screening using…
PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19
Buddhi Wijenayake, Athulya Ratnayake, Lelumi Edirisinghe +8
Understanding how population age structure shapes COVID-19 burden is crucial for pandemic preparedness, yet common summary measures such as median age ignore key distributional fea…
Mamba-FCS: Joint Spatio- Frequency Feature Fusion, Change-Guided Attention, and SeK Loss for Enhanced Semantic Change Detection in Remote Sensing
Buddhi Wijenayake, Athulya Ratnayake, Praveen Sumanasekara +4
Semantic Change Detection (SCD) from remote sensing imagery requires models balancing extensive spatial context, computational efficiency, and sensitivity to class-imbalanced land-…
Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection
Buddhi Wijenayake, Athulya Ratnayake, Praveen Sumanasekara +5
Remote sensing change detection is vital for monitoring environmental and urban transformations but faces challenges like manual feature extraction and sensitivity to noise. Tradit…
A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning
Nirhoshan Sivaroopan, Kaushitha Silva, Chamara Madarasingha +4
Synthetic network traffic generation has emerged as a promising alternative for various data-driven applications in the networking domain. It enables the creation of synthetic data…