IEEE

Predicting Atmospheric Dispersion of Industrial Chemicals Using Machine Learning Approaches

Abstract: This study presents an intelligent framework for assessing atmospheric dispersion in industrial accident scenarios involving chemical substances. The research focuses on modeling the ...
IEEE

Predicting Paretic Gait Trajectories Using sEMG With the ISSA-CNN-SVR Model

Abstract: The continuous prediction of the desired gait trajectory of the paretic leg is a key task for the lower limb rehabilitation robot to assist the coordinated motion of the healthy and paretic ...
Hosted on MSN

Using the property of equality of powers to solve an equation with exponents

👉 Learn how to solve exponential equations. An exponential equation is an equation in which a variable occurs as an exponent. To solve an exponential equation, we isolate the exponential part of the ...
Hosted on MSN

Writing an equation using point slope form given two points

👉 Learn how to write the equation of a line given two points on the line. The equation of a line is such that its highest exponent on its variable(s) is 1. (i.e. there are no exponents on its ...
SciELO

Predicting bond strength between steel reinforcement and concrete materials using machine learning with Bayesian optimization techniques

Predicting the adhesive force between steel reinforcement and concrete is crucial as it influences stress distribution and the overall mechanical behavior of reinforced concrete. This study proposes a ...
Journal of Medical Internet Research

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study

Using the GBM algorithm to predict the subsequent 3-month OUD risk, the top decile subgroup had a positive predictive value of 3.26%, a negative predictive value of 99.8%, and a number needed to ...