The linear regression is critical for data modelling, especially for scientists. Nevertheless,
with the plenty of high-dimensional data, there are data with more explanatory variables …

Precision farming (PF) plays a crucial role in the field of agriculture to solve the challenges of
food shortages in society. Heterogeneity, multicollinearity, and outliers are problems in PF …

A common problem in regression analysis using ordinary least squares (OLS) is the effect of
outliers or contaminated data on the estimates of the parameters. A robust method that is not …

The parameters that determine the removal of moisture content have become necessary in
seaweed research as they can reduce cost and improve the quality and quantity of the …

In recent years, the significance of machine learning in agriculture has surged, particularly in
post-harvest monitoring for sustainable aquaculture. Challenges like heterogeneity …

Smart precision farming combines IoT, cloud computing, and big data to optimize
agricultural productivity, reduce costs, and advance sustainability through digitalization and …

Seaweed, also known as macroalgae, plays a pivotal role in various industries due to its
nutritional carrageenan. This study used v-Groove Hybrid Solar Drier to dry seaweed …

Regressions have been continuously received great attention. However, there are still open
issues in regression, and two of the issues is regression with multicollinearity and outlier …

Unemployment is a major problem in the world. It is very consistent problem all over the
countries. The main purpose of this study is to know which factor is the main reason of …

Small-and medium-sized enterprise (SME) manufacturing executives and managers are
concerned with the rapid technological changes involving artificial intelligence (AI), machine …