A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically. Classic models like regression, decision trees, and KNN remain important in modern AI ...

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...

Abstract: In recent years, power electronic technology has been widely applied in energy conversion in the fields of renewable energy and information and communication technology. Magnetic components ...

Forests are vital to the global carbon cycle and play a critical role in regulating climate stability. However, accurately detecting forest phenology—particularly the timing of photosynthetic activity ...

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...

In this study, we were aimed to identify important variables via machine learning algorithms and predict postoperative delirium (POD) occurrence in older patients. This study was to make the secondary ...

Agriculture, the backbone of the economy to most developing countries, should normally contribute to its economic growth. But ignorantly, farmers grow crops by simply taking a piece of land, clearing ...

To address the prominent problems faced by customer churn in telecom enterprise management, a telecom customer churn prediction model integrating GA-XGBoost and SHAP is proposed. By using the ADASYN ...