IEEE

Earthquake Magnitude and Depth Prediction Based on Machine Learning and Multiple Linear Regression Models

Abstract: This paper presents a comprehensive exploration of earthquake magnitude and depth prediction using an advanced machine learning model and multiple linear regression model. The study ...
SciELO

Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...
IEEE

Constructing High-Precision and Spatial Resolution Precipitable Water Vapor Product Using Multiple Fusion Models

Abstract: Water vapor is a critical parameter in the earth's climate system, affecting precipitation and global warming. Precipitable water vapor (PWV) is a measure of atmospheric water vapor content ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
GitHub

weighted-linear-regression

Add a description, image, and links to the weighted-linear-regression topic page so that developers can more easily learn about it.
Frontiers

The impact of athlete burnout on academic burnout among college athletes: a multiple mediation model based on emotion regulation and sleep

Background: College athletes often face dual demands from training and academics, increasing their risk of both athletic and academic burnout. However, the transfer mechanism between these two forms ...