A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Dive into 3D object modeling and projectile motion with Python in Lesson 4! In this tutorial, we guide you step by step through creating 3D visualizations and simulating projectile motion using Python ...
This repository contains code for analyzing sex differences in the Human Connectome Project (HCP) data using Krakencoder and ensemble model (logistic regression). The analysis spans multiple age ...
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