Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...
Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
Researchers from the University of South China and Purdue University have developed ultra-high strength, high-ductility steel ...
A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...
Machine Learning (ML) is a subset of Artificial Intelligence that allows computers to “learn” from data. Ordinarily, in programming, we provide data and the expected output, and the machine does the ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Abstract: This paper analyzes the performance of different LDA combinations with machine learning algorithms in predicting diabetes based on clinical data. The analysis involves patient records with ...
Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...
The semiconductor industry is increasingly turning to artificial intelligence as the solution for increasing complexity in test analytics, hoping algorithms can tame the growing flood of production ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results