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asp.net-core-mvc-project-product-management

asp.net-core-web-api-project-product-management

classifying-shoulder-implants-in-x-ray-images

Project Objective: Total Shoulder Arthroplasty (TSA) is a type of surgery in which the damaged ball of the shoulders replaced with a prosthesis. Many years later, this prosthesis may be in need of servicing or replacement. In some situations, such as when the patient has changed his country of residence, the model and the manufacturer of the prosthesis may be unknown to the patient and primary doctor. Correct identification of the implant’s model prior to surgery is required for selecting the correct equipment and procedure. Data set description: Images were collected by Maya Stark at BIDAL Lab at SFSU for her MS thesis project. They are from The UW Shoulder Site, manufacturer websites, and Feeley Lab at UCSF. The original collection included 605 X-ray images. Eight images that appeared to have been taken from the same patients were removed, resulting in the final 597 images. The final set contains images from the following manufacturers: 83 from Cofield, 294 from Depuy, 71 from Tornier, and 149 from Zimmer, resulting in a 4-class classification problem. Class labels are provided as the manufacturer name in file names. Data Set Link: https://drive.google.com/drive/folders/13TUs7fTPBeyMm24vvWC2FZcVC9qTEsqt?usp=sharing Preprocessing: Add black border for each image then Apply histogram normalization for each image. Classification mode: apply CNN model which represent in the following image.

coursescrud_ado.net_3tier

This repository contains a CRUD application for managing courses. Implemented using ADO.NET and following a 3-tier architecture, it enables operations such as updating course information, adding new courses, and deleting existing ones.

dailymomentapp

furniturehub-angular

http_server

hubfurniture.angular2

image_filter

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

leetcode-problems

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)

loan-prediction

The idea behind this ML project is to build a model that will classify Loan status for each customer who can take loan or not It is based on the user’s marital status, education, number of dependents, and employments and etc.

mennahalim

My personal profile

mennahalim.github.io

mips_processor

The architecture of the MIPS processor supporting all basics instructions.

phone-book-app

sports-classification

Building a model that is able to classify different sports activities into different categories.

testing-lab-assignment

vegiess-dinner

MennaHalim/Vegiess-Dinner

xmlhelper

C++ program help user to load data from xml files to the program after checking it's correctness or help him to save some data into Xml file in a certian location