Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Dự án này xây dựng các models Machine Learning để dự đoán chỉ số chất lượng không khí (AQI) dựa trên dữ liệu lịch sử về các chất ô nhiễm như CO, NO, NO2, O3, SO2, PM2.5, PM10, NH3. aqi-prediction/ ├── ...

Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).

Abstract: As fraudulent transaction methods evolve rapidly; it becomes progressively more challenging to detect them in payment systems. Static machine learning and rule-based traditional detection ...