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.

Volume and Patience monitor for parents using Adafruit Circuit Board Express

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

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

An implemantion of LOF Algorithm to C-lang.

An implementation of OPTICS Algorithm

Project which contains all result files from all repositories

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

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

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

Assignment: This assignment will be image/video denoising. Some images are provided as input. Part 1: Corrupt the images by randomly choosing some pixels and replacing the pixel values with random/junk values [3 marks] Part 2: Display and save the noisy images [1 marks] Part 3: Read in the saved noisy images. Identify the noisy pixels by compari…

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

Syntesis images noise detection using CNN approach

Classification of noise types applied to an image using convolutional neural networks

Synthesis Images noise detection metrics developed including all approaches using SVD or others compression methods

Calcium signal processing algorithm for automated analysis of intracellular calcium responses

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

Android app that allows you to detect a loud noise with your phone!

A Java program that removes ambient noise from an audio file

Implementation of a sound detector that measures ambient sound in the environment and alerts you if the noise levels are disturbing so an apt action could be taken by you. Live results are also sent to an IoT cloud platform.