hashemrawashdeh Goto Github PK
Name: Hashem Rawashdeh
Type: User
Name: Hashem Rawashdeh
Type: User
Developing a machine learning model for accurate prediction of the number of clicks on online advertisements based on contextual factors.
This repository showcases advanced communication techniques including AM audio transmission using GNU Radio, QAM-64 modulation and demodulation using Simulink, and Huffman source coding algorithm design and simulation using MATLAB
This project aims to develop a precise and effective brain tumor classification system that employs transfer learning. Our approach involves fine-tuning a pre-trained model, namely EffecientNetV2S, and conducting a thorough performance evaluation.
This project uses logistic regression to diagnose breast cancer accurately. By analyzing vast patient data, the model aids early detection, leading to better outcomes.
A system designed to count the number of cars that pass through a specific area using sensors or cameras.
This repository contains a selection of my certificates related to RF engineering, robotics, and computer vision. It includes foundational courses as well as advanced specializations.
Simulation and analysis exploring the potential use of Molniya orbit satellites for Soviet surveillance during the Cold War and the implementation of a Starlink satellite network for internet coverage in Irbid, Jordan, including an extensive performance evaluation.
This Project forecasts the probability of diabetes. It employs age, BMI, blood pressure, and glucose levels as features, employing labeled data and algorithms such as logistic regression, XGBoost, and neural networks.
Here I will play with various classical and state of the art deep learning research papers
The project aims to develop a predictive model using machine learning techniques to forecast employee turnover within an organization based on various factors such as employee demographics, job satisfaction, and performance metrics.
This repository contains code, resources, and practical prototype details for enhancing wireless communication with Intelligent Reflective Surfaces (IRS). It includes MATLAB simulations, CST designs and simulations, EasyEDA design, and real-world prototype implementation.
The project aims to develop a facial expression classification system using deep learning techniques to accurately recognize and categorize human emotions based on facial images.
Within this undertaking, a range of regression methodologies shall be explored in order to address a compelling conundrum.
The project aims to develop a predictive model using machine learning techniques to accurately forecast life expectancy based on various demographic, socioeconomic, and health-related factors, facilitating informed decision-making in public health policies and interventions.
This repository serves as a central hub for miscellaneous and supplementary resources that I reference if and when needed.
This repo implements multi-person pose estimation using the efficient MoveNet architecture. With pre-trained models, fine-tuning scripts, and data utilities, this project offers a flexible and easy-to-use tool for real-time pose estimation in various applications.
The project focuses on developing a machine learning model capable of accurately classifying traffic signs based on images, aiming to enhance traffic safety and assist in autonomous vehicle navigation.
Trying different regression algorithms such as multiple linear regression and XGBoost
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.