Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

Abstract: The diesel generators sets (DGs) and battery storage systems (BSS) are the essential energy sources in a modern high-rise buildings. In this paper DG, BSS and Photovoltaic system (PV) has ...

Predicting worsening asthma symptoms from NHS primary-care data using SQL + MATLAB, following CRISP-DM. Compares Decision Tree, Logistic Regression, Bagged Ensemble, and RUSBoost on an imbalanced ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

These are my go-to libraries for Python data crunching.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The Borehole function models water flow through a borehole. Its simplicity and quick evaluation makes it a commonly used function for testing a wide variety of methods in computer experiments. The ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

mSINDy - modular Sparse Identification of Nonlinear Dynamics is a modular MATLAB framework for data-driven discovery of governing equations in nonlinear dynamical systems based on sparse regression ...