IEEE

A Self-Supervised Pre-Learning Method for Low Wind Power Forecasting

Abstract: As wind power is becoming a major energy source of power systems, the risk of power shortages due to its intermittent low power output is growing. Accurate forecasting of low wind power is ...
IEEE

Enhancing Semi-Supervised Brain Tumor Segmentation via Dual-Uncertainty Guided 2.5-D CNN–Transformer and Voxel-Wise Contrastive Learning

Abstract: Data annotation in medical image segmentation is time-consuming and expensive. Semi-supervised learning (SSL) presents a viable solution. However, unlike organ segmentation, current ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...