An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Georgetown University's Lombardi Comprehensive Cancer Center researchers have identified a new way to reprogram T cells, ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Automated three-stage analysis pipeline sifts out whale calls from terabytes of distributed acoustic sensing data.
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that leaf optical behavior can be accurately inferred from measurable phenotypic ...
An accurate prediction of imbalance prices is crucial for making well-informed decisions within short-term energy markets. This study proposes a two-stage probabilistic framework for the prediction of ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Abstract: This paper presents an automated design methodology to improve the radiation performance of microstrip antenna arrays using boosting-based machine learning (ML) algorithms in the X-band ...