An Intrusion Detection System (IDS) monitors network traffic and system activities, identifying security threats and suspicious behavior. It guards against unauthorized access, attacks, anomalies, or policy violations.
In this work, we will propose a secure P2P chat application in java programming language, and this system consists of a robust, fully decentralized (P2P) and end-to-end encrypted network architecture.
A blockchain system to manage monetary transactions between the different nodes of a decentralized network.
This work focuses on advancing the detection of diabetic retinopathy through the implementation of Vision Transformer (ViT) models, as state-of-the-art deep learning approach to computer vision.
This study applies deep learning techniques to improve speech recognition in different environments, including noisy situations. The study presents the results of a Convolutional Neural Network (CNN) model that achieved high accuracy in recognizing spoken words in clean audio data but struggled as noise levels increased. 
In this work, we represent how to use PARI/GP for elliptic curves with python and apply it to the use of ECDH and ECDSA.
Use Spring Boot to create a web application for managing a laboratory, where users can create and manage publications and also projects.
This project aims to develop an intelligent system that combines a chatbot interface with an efficient regression model to predict house prices using machine learning techniques.
This study focuses on optimizing investments through stock analysis and predictive modeling of NVIDIA Corporation. The introduction provides an overview of the stock problem and explains the significance of NVIDIA stock.