Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range
A schematic of the VaTD training scheme. Credit: Credit: Hong Kong University of Science and Technology A research team has...
Learning
BamClassifier: a machine learning method for assessing iron deficiency
Data setsTwo different types of real datasets were obtained for the study. The first dataset was obtained from a baseline...
Interpretable X-ray diffraction spectra analysis using confidence evaluated deep learning enhanced by template element replacement
Framework for XRD prediction and its analysisVSS are simulated within structural templates, covering a wide range of hypothetical and potentially...
Climate-adaptive energy forecasting in green buildings via attention-enhanced Seq2Seq transfer learning
Problem descriptionGreen building energy consumption prediction requires understanding the complex mathematical relationships between building systems, environmental conditions, and temporal dynamics....
Cyberattack event and arguments extraction based on feature interaction and few-shot learning
In this section, we evaluate the event extraction performance of the proposed CAFIIE method against baseline methods on CTI texts,...
Simpler models can outperform deep learning at climate prediction | MIT News
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a...
