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Showing results for employs Background
GitHub Repo https://github.com/mukesh-gehlot/remove_background

mukesh-gehlot/remove_background

This Python script utilizes the rembg library to remove the background from an image. It employs the easygui library for straightforward file selection and saving, creating a simple user interface. The PIL (Python Imaging Library, Pillow) is used for working with images.
GitHub Repo https://github.com/kdungs/very-naive-bayes

kdungs/very-naive-bayes

A very naive implementation of a Naive Bayes classifier. It can distinguish two different labels (signal and background) and employs Gaussian pdfs.
GitHub Repo https://github.com/rudnie-casinillo/ClearTone

rudnie-casinillo/ClearTone

CLEARTONE is a web-based real-time speech enhancement system that employs advanced digital signal processing algorithms to suppress background noise and improve audio clarity.
GitHub Repo https://github.com/employsecure8-create/Employee-Background-Verification-Services-EmploySecure

employsecure8-create/Employee-Background-Verification-Services-EmploySecure

Ensure a safe workplace with EmploySecure's comprehensive employee background verification services. Contact us today to learn more.
GitHub Repo https://github.com/Darkskittlz/DarkMeow-Backgrounds

Darkskittlz/DarkMeow-Backgrounds

React Web Application displaying the various backgrounds in tsParticles and threeJS I like to employ on my web applications
GitHub Repo https://github.com/elliotfayman/BiteBuddies

elliotfayman/BiteBuddies

This program is designed for a smart water drip sensor that uses advanced signal processing to distinguish dripping noise from background noise, helping to identify leaks and conserve water. The program runs on an Arduino microcontroller and employs various techniques to isolate and identify dripping noise.
GitHub Repo https://github.com/elliotfayman/DripTech

elliotfayman/DripTech

This program is designed for a smart water drip sensor that uses advanced signal processing to distinguish dripping noise from background noise, helping to identify leaks and conserve water. The program runs on an Arduino microcontroller and employs various techniques to isolate and identify dripping noise.
GitHub Repo https://github.com/Morsinaldo/SFND-Radar-Target-Generation-Detection

Morsinaldo/SFND-Radar-Target-Generation-Detection

This repository contains the code developed in the fourth project of Udacity's Fusion NanoDegree Sensor, which employs the 2D CA-CFAR technique to detect target measurements against a background characterized by noise in the context of a frequency-modulated continuous wave (FMCW) radar.
GitHub Repo https://github.com/Vaishnavi-Khule/Background-Subtraction-using-GMM

Vaishnavi-Khule/Background-Subtraction-using-GMM

• Implemented Gaussian Mixture Models (GMMs) for accurate background subtraction in image sequences, employing multivariate Gaussian distributions. • Explored two baselines for background extraction: frame averaging and per-pixel GMMs, achieving improved accuracy compared to other methods.
GitHub Repo https://github.com/Pravallikakh05/Frequency-Domain-Adaptive-Noise-Cancellation

Pravallikakh05/Frequency-Domain-Adaptive-Noise-Cancellation

Simulation of an adaptive system using the Least Mean Squares(LMS) algorithm by employing FFT functions in MATLAB, to eliminate background noise from a speech signal, in the frequency domain.