Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is ...

Machine learning has become indispensable for predicting crop yields, significantly influencing crop selection and management strategies throughout the growing season. Extensive research has ...

This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...

The forecast of sales volume is of great significance to the development of e-commerce. In this paper, a sales forecasting model based on LGBT and SHAPE algorithm is proposed. The LGBT model is used ...

Inside the quiet identity crisis of parents in a world of algorithmic caregiving. One evening in Bangalore, a tired parent ...

New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

Human intelligence is a burdened process. We think with contradiction, hesitate, revise, and leverage the weight of memory.

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...