IEEE

Improving the Accuracy by Comparing with CatBoost Classifier Algorithm over Multilayer Perceptron Classifier Algorithm for Predicting the Air Pollution

Abstract: Aim: This effort aims to determine the type of air pollution quality. Through a comparison study of the catboost Classifier procedure and the MLP classifier method, it has been found which ...
IEEE

Hybrid intrusion detection system based on Random forest, decision tree and Multilayer Perceptron (MLP) algorithms

Abstract: With the rapid increase in network intrusions, applying an active network intrusion defense is more important than ever before. Different learning algorithms have been combined to achieve ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
GitHub

air-quality-prediction

Automated MLOps for Urban Air Quality is a serverless AI system forecasting PM2.5 levels for Karachi, Pakistan. It automates the entire machine learning lifecycle from hourly data ingestion to daily ...