IEEE

Landsat LST Product Gap Filling Using the Multiple Features Ensemble Learning Model Caused by the Missing Emissivity Dataset

Abstract: Land surface temperature (LST) is an important surface physical parameter that has received wide attention in many fields, and thermal infrared (TIR) remote sensing technology can ...
IEEE

ŶUGO: Enhancing Power Consumption Predictions in Data Centers through Combined Multiple Linear Regression and Gradient Boosting Techniques on Hypervisor Load

Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...