Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

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

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Abstract: Wild fire is a serious environmental and socioeconomic menace and therefore any effort aimed at the early and accurate detection of wild fire has to be very useful. This paper proposes a ...

What if you could look into a cow's face and know whether it had a fever? A new tool from the Artificial Intelligence and ...

Abstract: Accurately modeling and predicting urban path loss is a challenging task due to the fact that conventional regression models yield continuous estimates that can hide important performance ...

This is an automated machine learning pipeline that replaces manual image editing for underwater GoPro images captured during ROV surveys. Converts RAW GPR files to enhanced images matching manual ...

The purpose is to comprehend the links between qualities, specifically any association between features and predicted labels. This includes detecting and fixing data problems (e.g. missing values, ...

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 ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.