Diagnosis of Liver Disease using ANN and MLAlgorithms with Hyperparameter Tuning

5,500.00
The aim of this project is to develop a system for the diagnosis of liver disease using Artificial Neural Networks (ANN) and Machine Learning (ML) algorithms with hyperparameter tuning. The project focuses on leveraging advanced models and optimization techniques to enhance predictive capabilities, aiding in the early detection and effective management of liver disease.

DroneGuard: An Explainable and Efficient Machine Learning Framework for Intrusion Detection in Drone Networks

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  Design and deliver a lightweight, interpretable, and efficient intrusion detection framework that detects GPS-spoofing and Denial-of-Service (DoS) attacks in drone networks in (near) real time while producing human-readable explanations for each alarm.