GAMS-dataset

The GAMS-dataset is a collection of air quality time-series data used to evaluate the effectiveness of the ATLO-ML system in optimizing input time length and sampling rate for improved predictive performance in machine learning models.

Papers using GAMS-dataset (1)

ATLO-ML: Adaptive Time-Length Optimizer for Machine Learning -- Insights from Air Quality Forecasting2025