SIaD Tool: A Comprehensive Frequency-Domain Tool for Small-Signal Stability and Interaction Assessment in Modern Power Systems developed by CITCEA-UPC as part of the MSCA-ADOreD project.
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Updated
Feb 11, 2026 - MATLAB
SIaD Tool: A Comprehensive Frequency-Domain Tool for Small-Signal Stability and Interaction Assessment in Modern Power Systems developed by CITCEA-UPC as part of the MSCA-ADOreD project.
SIaD Tool: A Comprehensive Frequency-Domain Tool for Small-Signal Stability and Interaction Assessment in Modern Power Systems developed by CITCEA-UPC as part of the MSCA-ADOreD project.
Includes three methods for median filtering forensics in digital images
A Python-based project implementing image enhancement techniques using Fast Fourier Transform (FFT) to reduce noise and improve image quality.
Hybrid deepfake image detection using FFT, DCT, DWT, CNN feature fusion, and explainable AI (Grad-CAM) for robust digital image forensics.
MATLAB implementation of closed-loop feedback analysis for ENG3018 Practical 2, covering open-loop and closed-loop transfer functions, sensitivity analysis, time-domain responses, and phase-delay estimation using Control System Toolbox functions.
A Frequency-Domain Analysis Approach for Distinguishing GAN-Generated Images from Real Images
Research notebooks for estimating gait loading rate from wearable accelerometry in the frequency domain and comparing it with force-plate measurements.
Detecting AI-generated videos by exploiting hidden frequency-domain artifacts invisible to the naked eye. A comparative deep learning study (RGB vs FFT vs Fusion, ResNet18) built to strengthen digital media authenticity in an era where synthetic video is nearly indistinguishable from real footage.
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