Abstract: Gas distribution mapping (GDM) refers to the task of mapping the gas concentrations of an airborne chemical over a region of interest. A mobile robot equipped with a gas sensor can be used ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Trump Media stock surges more than 30% on surprise merger with power firm TAE Student loans will look different in 2026. Here's what's changing. Caitlin Clark weighs in on WNBA CBA + Sandy Brondello’s ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
Mini cranes play a pivotal role in construction due to their versatility across numerous scenarios. Recent advancements in Reinforcement Learning (RL) have enabled agents to operate cranes in virtual ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
ABSTRACT: This study examines the impact of Environmental, Social, and Governance (ESG) factors on sovereign credit ratings in Sub-Saharan African countries using LASSO and Random Forest models.
MA AG Andrea Joy Campbell sued the Trump administration over its efforts to re-distribute devices that convert semiautomatic rifles into machine guns. FRTs, which stands for Forced Reset Triggers, are ...
Abstract: This paper presents a new approach of Extreme Learning Machine (ELM) ensembles that use majority voting with the q-Gaussian Activation function Circular Extreme Learning Machine (QCELM) to ...
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