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

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

"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid ...

Glaciers carved the deep valleys of Banff, eroded Ontario to deposit the fertile soils of the Prairies, and continue to ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

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 ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

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 novel machine ...

Background Cancer survivors have an increased risk of heart failure, but this is balanced by the risk of death from other ...

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

Rising demand for organic agricultural products has made the verification of their authenticity a critical concern. Traditional classification approaches for mass spectrometry using full-scan ...

Teodoro et al. (2021) proposed a machine learning method to predict the maturity days, plant height and grain yield of soybean varieties based on multi-spectral bands. The method mainly involves a ...