Pinned Repositories
Multispectral-Land-Cover-Classification
Multispectral-Land-Cover-Classification App using deep learning along with transfer learning (Resnet50) and EuroSAT dataset
Arduino-Door-Lock-Access-Control-Project
This Arduino-based project implements a simple door lock access control system using RFID technology. The system utilizes an MFRC522 RFID reader, a 16x2 LCD display, and a few other components to manage access to a secured space.
COVID-19-Case-Prediction-Matlab-App
Explore the 'COVID-19 Case Prediction Desktop App' repo, a potent desktop application leveraging MATLAB's Deep Learning Toolbox, ResNet-50 transfer learning, and MATLAB App Designer. Predict COVID-19 cases with precision and empower data-driven decisions.
Deep-Learning-image-classification-project
This repository houses a deep learning project focusing on image classification using Convolutional Neural Networks (CNNs) and Dense Neural Networks (DNNs). The dataset consists of images from "Ernest & Celestine" and "Toy Story," divided into three parts. The primary goal is to compare models for binary and multi-class image classification tasks.
Hand-gesture-Recongnition-Paper-implimentation-
This project focuses on developing an algorithm for recognizing hand gestures using image processing techniques. It is an exploration into the realm of computer vision and gesture recognition.
SKIN-LESION-CLASSIFICATION-AND-styleGan3
UI-for-a-Medical-Imaging-Database-Web-App
Explore 'UI for a Medical Imaging Database Web App'—your gateway to a user-friendly, JSP-powered web interface for efficient medical imaging data management. Hosted on Apache Tomcat and crafted within Eclipse IDE.
AzzedineNed's Repositories
AzzedineNed/SKIN-LESION-CLASSIFICATION-AND-styleGan3
AzzedineNed/COVID-19-Case-Prediction-Matlab-App
Explore the 'COVID-19 Case Prediction Desktop App' repo, a potent desktop application leveraging MATLAB's Deep Learning Toolbox, ResNet-50 transfer learning, and MATLAB App Designer. Predict COVID-19 cases with precision and empower data-driven decisions.
AzzedineNed/Deep-Learning-image-classification-project
This repository houses a deep learning project focusing on image classification using Convolutional Neural Networks (CNNs) and Dense Neural Networks (DNNs). The dataset consists of images from "Ernest & Celestine" and "Toy Story," divided into three parts. The primary goal is to compare models for binary and multi-class image classification tasks.
AzzedineNed/Arduino-Door-Lock-Access-Control-Project
This Arduino-based project implements a simple door lock access control system using RFID technology. The system utilizes an MFRC522 RFID reader, a 16x2 LCD display, and a few other components to manage access to a secured space.
AzzedineNed/Hand-gesture-Recongnition-Paper-implimentation-
This project focuses on developing an algorithm for recognizing hand gestures using image processing techniques. It is an exploration into the realm of computer vision and gesture recognition.
AzzedineNed/UI-for-a-Medical-Imaging-Database-Web-App
Explore 'UI for a Medical Imaging Database Web App'—your gateway to a user-friendly, JSP-powered web interface for efficient medical imaging data management. Hosted on Apache Tomcat and crafted within Eclipse IDE.
AzzedineNed/Multispectral-Land-Cover-Classification
Multispectral-Land-Cover-Classification App using deep learning along with transfer learning (Resnet50) and EuroSAT dataset