Simulate and evaluate noise effects on optical diffusion measurements in time-resolved microscopy.
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Updated
Mar 22, 2026 - Python
Simulate and evaluate noise effects on optical diffusion measurements in time-resolved microscopy.
Fortytwo: Pulsar timing software for noise, gravitational-wave and common-signal analysis
Noise analysis on POL-2 and sensitivity of JCMT/SCUBA-2 while POL-2 mounted on the telescope.
Python framework for simulating hybrid semiconductor-superconductor quantum circuits (FerBo, Andreev, Fluxonium, Gatemon, Gatemonium)
Implementation and analysis of quantum error correction codes (Bit-Flip, Phase-Flip, Shor's 9-qubit) with realistic noise simulation and performance benchmarking
A lightweight research-oriented project analyzing how noise, missing values, and corrupted features affect machine learning model reliability. Includes synthetic data generation, multi-model training, and noise-impact evaluation with visualization. Designed as a teaching/learning artifact for data quality, robustness, and ML reliability concepts.
Template matching using OpenCV in Python. Various levels of noise are added to the input image, and various Gaussian blurring is performed. For all the resultant images, template matching is performed and results are written in an excel file
Statistical analysis of sample values to approximate the final pixel value
🔍 Analyze how noisy and incomplete data impacts machine learning model performance on binary classification tasks with robust evaluation methods.
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