Frontiers

Subcortical microstructural impairment in amyotrophic lateral sclerosis: clinical correlates of neurite orientation dispersion and density imaging (NODDI) changes

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease involving widespread network disruption beyond the motor cortex. Deep gray matter (DGM) nuclei, crucial for motor and ...
Frontiers

Soluble solids content prediction of pineapple based on visible-near infrared hyperspectral image

Pineapple is widely favored by consumers for its rich proteins, vitamin C and other nutrients. Soluble solids content (SSC) has long been the core indicator for pineapple quality assessment, directly ...
SciELO

Experimental physics laboratory 2: calculating the value of water density using metal rod and water container

This article presents a detailed analysis of an undergraduate physics laboratory experiment designed to determine the density of water using fundamental measurement techniques and data analysis ...
IEEE

A Study on the Fusion of Multiple Linear Statistical Regression and Deep Learning Models for Sea Surface Wind Speed Retrieval in Typhoon Regions Based on FY-3D_MWRI Data

Abstract: The Level 1 (L1) brightness-temperature data from the Fengyun-3D (FY-3D) Microwave Radiation Imager (MWRI) provide an important data source for retrieving high wind speeds over ocean ...
GitHub

Linear Regression Practice Using Python

Linear Regression Practice Using Python This study involves practical application of regression analysis, as covered in the Google Advanced Data Analytics course. For more information, you may refer ...
Scientific Research Publishing

Hayes, A. F., & Cai, L. (2007). Using Heteroskedasticity-Consistent Standard Error Estimators in OLS Regression: An Introduction and Software Implementation.

ABSTRACT: This study investigates the impact of wage structure on employee satisfaction, motivation, and retention in Thailand’s textile manufacturing industry. Despite the recognized importance of ...
Scientific Research Publishing

Newbold, P., Carlson, W.L. and Thorne, B. (2007) Multiple Regression. In: Pfaltzgraff, M. and Bradley, A., Eds., Statistics for Business and Economics, Pearson Education Inc ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Hosted on MSN

Multiple Linear Regression from Scratch in Python – Simply Explained

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...