Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
Argonne National Laboratory has made extremely precise measurements of unstable ruthenium nuclei. The measurements are a ...
Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
bayesian-sgdlm is a Python script for fully Bayesian SGDLMs, treating each node as a VAR( š¯‘¯) DLM. It leverages decoupleā€“recouple filtering with Variational Bayes and importance sampling to estimate ...
ABSTRACT: This study investigates the relationship between public debt and economic growth in Uganda for the period 1990 to 2023 using a nonlinear autoregressive distributed lag (NARDL) model. The ...
FIFA is planning to sell general sale tickets for the menā€™s World Cup in 2026 under a dynamic pricing model, a system whereby prices fluctuate based on demand. So far, the only ticket packages ...
Abstract: This article presents the full dynamic model of the UR10 industrial robot. A triple-stage identification approach is adopted to estimate the manipulator's dynamic coefficients. First, linear ...
Abstract: Human activity recognition (HAR) has been gaining attention in recent years as a result of its many applications in health, sports, entertainment, and surveillance. Due to the current ...
1 Human-Centric Design Research Lab, Department of Mechanical Engineering, Texas Tech University, Lubbock, TX, United States 2 School of Mechanical and Aerospace Engineering, Oklahoma State University ...
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