An online examination monitoring system employing YOLOv8, along with various other deep learning and machine learning approaches, centered around computer vision.
-
Updated
Dec 17, 2023 - CSS
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
Focus stacking code
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
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"
Project which contains all result files from all repositories
Add a description, image, and links to the noise-detection topic page so that developers can more easily learn about it.
To associate your repository with the noise-detection topic, visit your repo's landing page and select "manage topics."