This important study applies a novel signal decomposition method to disentangle distinct signals contributing to the decision-making process, and provides convincing evidence for the operation of ...

Chinese artificial intelligence company DeepSeek has postponed the release of its next-generation R2 model after encountering persistent problems training it on Huawei's Ascend processors, according ...

At the turn of the 20th century, following the popularization of the first cars ever invented by visionaries like Karl Benz, prototypical automobiles were gradually rolling out on the streets of the ...

This study introduces a Q-learning-based nonlinear model predictive control (QL-NMPC) framework for temperature control in batch reactors. A reinforcement learning agent is trained in simulation to ...

Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

They conducted full-length 16S ribosomal RNA gene sequencing of milk samples collected at 3 months and 6 months and then constructed multivariate linear mixed models to identify the maternal ...

Abstract: This paper presents an analysis of product sales and pricing based on a multi-linear regression model and time series forecasting algorithm. Initially, historical sales prices are considered ...

TITLE: Evaluating the Impacts of Human Activities on Diversity, Abundance, and Distribution of Large Mammals in Nimule National Park, South Sudan ...

aDepartment of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands bBiostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, ...

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