Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Abstract: Objective: To investigate the plausibility of a mathematical model of the ballistocardiogram (BCG) called the “BCG-blood pressure (BP) model” developed in our prior work. Methods: We ...
A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...
Abstract: Efficient battery management system (BMS) monitoring and accurate battery state estimation are inseparable from precise battery models and model parameters. Because of the multi-time scale ...
Secondary extremity lymphedema (SEL) is a chronic and progressive disorder resulting from impaired lymphatic drainage, most commonly following oncologic interventions such as breast or gynecological ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
This repo contains the resources for the paper "From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning." In this work, we take mathematical reasoning as a ...