IEEE

Hyperspectral Image Classification Powered by Khatri-Rao Decomposition-Based Multinomial Logistic Regression

Abstract: Multinomial logistic regression (MLR) is of great significance in hyperspectral image (HSI) classification within remote sensing community. It seeks the optimal regressors with logistic loss ...
SciELO

AgroReg: main regression models in agricultural sciences implemented as an R Package

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...
IEEE

Predicting Student-Teachers Dropout Risk and Early Identification: A Four-Step Logistic Regression Approach

Abstract: Student-teachers’ dropout is a complicated and serious issue in the learning process, with its attendant negative implications on students, academic institutions, economic resources, and ...
GitHub

Exchange Rate Forecasting using Machine Learning

We propose adding a new project focused on Exchange Rate Forecasting using machine learning techniques, specifically for predicting the USD/INR exchange rate. This project will involve data ...
BMJ

Exercise based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...