Computer Vision based Solar Irradiance Forecasting
hybrid deep learning pipeline for very short-term solar irradiance forecasting, targeting a 20-minute prediction horizon.
Page Archive
Fusing Spectral Correlation Density Imaging with Deep Learning for Intelligent Fault Diagnosis in Rotating Machinery
Journal 1
{# fallback to citation string if authors array isn’t set #}Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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GAN-Driven Signal Denoising and Enhancement for Robust Drone Motor Detection
IEEE IECON 2025
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Unveiling Misalignment Fault Severities: A Novel SCD-CNN Framework for Rotating Machinery
MERCon 2025
AI-Enabled RF-Sensing for Radar Detection of Body-Worn IEDs
SoutheastCon 2024
{# fallback to citation string if authors array isn’t set #}Recommended citation: K. Senarathne, A. Hatharasinghe, W. Seram, D. Herath, C. Seneviratne and A. Madanayake, "AI-Enabled RF-Sensing for Radar Detection of Body-Worn IEDs," SoutheastCon 2024, Atlanta, GA, USA, 2024, pp. 644-649, doi: 10.1109/SoutheastCon52093.2024.10500269. keywords: {Radio frequency;Deep learning;Solid modeling;Radar cross-sections;Three-dimensional displays;Software algorithms;Data models;Improvised Explosive Devices;Radar Cross Section;Computer Simulation Technology},
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Non-Invasive Accelerometric Based Systems for Fetal Movement Monitoring
A non-invasive, lightweight wearable capable of recording abdominal signals and detecting fetal kicks using an AI pipeline for continuous monitoring.