IEEE

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
GitHub

Model Context Protocol (MCP) server for Redmine that provides comprehensive access to the Redmine REST API.

This project is an MCP server that comprehensively covers Redmine's REST API. It allows you to operate Redmine from MCP clients (such as Claude Desktop).
IEEE

Machine Learning-based Detection of Web Attacks Using Logistic Model Trees

Abstract: Cyberattacks pose a significant threat to internet security and may cause great damage to businesses. Machine learning methodologies have been widely used to detect cyber intrusions. This ...
GitHub

C# Web API - RESTful API with Authentication and Database Integration

A complete RESTful web API built with C# and .NET Core 8.0, featuring JSON API endpoints, Entity Framework, JWT authentication, database integration, and ...