Pinned Repositories
Analysis-on-Wuzzuf-jobs-dataset-using-Java-and-RESTful-API
Analysis-on-Wuzzuf-Jobs-using-Java
Image-Filtering-and-Hybrid-Images
This repository presents is an image convolution function (image filtering) used it to create hybrid images. The technique was invented by Oliva, Torralba, and Schyns in 2006, and published in a paper at SIGGRAPH. High frequency image content tends to dominate perception but, at a distance, only low frequency (smooth) content is perceived. By blending high and low frequency content, we can create a hybrid image that is perceived differently at different distances. This project is in a computer vision course.
ITI-G1-Test
Logic-Circuit-Simulator-Cpp
Logic-Circuit-Simulator-Using-Cpp
Mountain-Car-Problem
PCA-Implementation-using-Python-and-OOP
Restaurant-Management-Data-Structures-Project
Transportation-Company-Database-Project-in-cs-and-sql
TasneemOmara's Repositories
TasneemOmara/Mountain-Car-Problem
TasneemOmara/Analysis-on-Wuzzuf-Jobs-using-Java
TasneemOmara/Image-Filtering-and-Hybrid-Images
This repository presents is an image convolution function (image filtering) used it to create hybrid images. The technique was invented by Oliva, Torralba, and Schyns in 2006, and published in a paper at SIGGRAPH. High frequency image content tends to dominate perception but, at a distance, only low frequency (smooth) content is perceived. By blending high and low frequency content, we can create a hybrid image that is perceived differently at different distances. This project is in a computer vision course.
TasneemOmara/ITI-G1-Test
TasneemOmara/Logic-Circuit-Simulator-Cpp
TasneemOmara/Logic-Circuit-Simulator-Using-Cpp
TasneemOmara/PCA-Implementation-using-Python-and-OOP
TasneemOmara/Restaurant-Management-Data-Structures-Project
TasneemOmara/Transportation-Company-Database-Project-in-cs-and-sql
TasneemOmara/The-Frozen-Lake-QLearning
Frozen-Lake is an environment with a 4x4 grid, the agent starts from a fixed position. Some grids are walkable while the others are holes. His goal is to reach a certain grid location. The agent learns using Q-learning
TasneemOmara/UVD-Robot