IEEE

Bayesian Regression-Based Power Loss Probabilistic Estimation of Dust-Accumulated PV Systems

Abstract: This paper proposes a Bayesian regression neural network (SolarBRNN) combined with a feature pyramid network (FPN) for photovoltaic power loss (PVPL) prediction. The model effectively ...
IEEE

Data-Driven Model Predictive Current Control for PMSM Drives with Bayesian Linear Regression

Abstract: The conventional model predictive current control (MPCC) method is highly sensitive to motor parameters, resulting in decreased control performance when the model parameters are mismatched ...
eLife

Association between continuous glucose monitoring-derived metrics and coronary plaque vulnerability: A retrospective exploratory analysis

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.
Frontiers

Behavioral science of voting in hypothetical utopia and dystopia scenarios: a predictive modeling approach

1 Digital Transition and AI, Haaga-Helia University of Applied Sciences, Helsinki, Finland 2 Neurolab, Laurea University of Applied Sciences, Espoo, Finland We investigated how near-future utopia and ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...