Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...
Researchers say a new AI system can identify disease-causing mutations and explain their biological effects, potentially ...
Since my first readings (among the most important, Albert Schweitzer on leprosy in Lambaréné, Gabon), my idea was to protect ...
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...
Generative AI can augment chemometrics by automating curation, connecting analytical outputs to textual knowledge, and ...
Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...
Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...
Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...
A University of Manchester study found that a grammar-focused technique, LambdaG, can match or surpass advanced AI in identifying text authorship. By analyzing patterns in grammar and sentence ...
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