Focus stacking code

An online examination monitoring system employing YOLOv8, along with various other deep learning and machine learning approaches, centered around computer vision.

Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf

A Java program that removes ambient noise from an audio file

A collection of algorithms for detecting and handling label noise

Code basis for the paper "Real-time Noise Source Estimation of a Camera System from an Image and Metadata" (Advanced Intelligent Systems, 2024)

Data Science

Framework for P300 wave detection and noise-based cyberattacks in Brain-Computer Interfaces - Enrique Tomás Martínez Beltrán

Implements the CAIRAD techique for detecting noisy values in a dataset for Weka

Synthesis Image Noise Detection on Distributed Data : A web app to collect data on noise detection by humans on images.

Trabalhos desenvolvidos para a disciplina Sistemas de Recomendação do curso de Ciência da Computação da UFRRJ. Estes trabalhos realizam uma análise de técnicas de recomendação que utilizam filtragem colaborativa.

A Density-based spatial clustering of applications with noise implementation to C-languange

FonGuard turns your phone into a sentinel watching out for intruders and reporting any suspect motion, noise or vibration in real time.

An implementation of OPTICS Algorithm

Smart browser-based sound masking that adapts to your environment. Features adaptive noise detection, natural sound recordings, sleep timers, and saved presets. No installation required - works 100% offline in your browser. Privacy-focused: all processing happens locally, no data collection.

An implemantion of LOF Algorithm to C-lang.

Smart safety helmet for large scale construction sites

Environment noise grading and using it to manage deep learning models for higher accuracy classification/detection.

micko, the unapologetic microphone volume monitor.

Personal implementation of the paper "A two-stage ensemble method for the detection of class-label noise"