Abstract: This paper proposes a Cascaded Random Forest (CRF) method, which can improve the classification performance by means of combining two different enhancements into the Random Forest (RF) ...

Abstract: Deep learning based methods have made great progress in hyperspectral image classification. However, training a deep learning model often requires a large number of labeled samples, which ...

From detecting Salmonella to flagging risky food suppliers, a new review shows how AI is moving food safety research toward faster, more predictive monitoring Review: Artificial intelligence in food ...

Objectives We investigated associations between maternal occupations and a diagnosis of autism spectrum disorder (ASD) in ...

In case you use any of the components for your research, please refer to (and cite) this paper: "LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in ...

If you are reading this on GitHub, the demo looks like this. Please follow the link below to view the live demo on my blog. Convolutional Neural Networks (CNN), a technique within the broader Deep ...

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...

Chatbots are far more predictable in their responses than you might expect. That's fine for research or coding, but it's a ...

A new study shows that it is possible to increase the number of bird species in a forest fragment without increasing its size ...

In this era of Big Data, the prevailing wisdom is that more information leads to better answers. However, a new Canadian ...

The University of Minnesota-connected citizen science platform logs its one billionth contribution to scientific knowledge.