Prediction of transportation energy demand: multivariate adaptive regression splines

MA Sahraei, H Duman, MY Çodur, E Eyduran - Energy, 2021 - Elsevier
Energy usage in the transportation sector has been increasing in Turkey. Good
management of energy is important as well as a reliable prediction of the energy demand in …

Prediction of grain yield in wheat by CHAID and MARS algorithms analyses

F Demirel, B Eren, A Yilmaz, A Türkoğlu, K Haliloğlu… - Agronomy, 2023 - mdpi.com
Genetic information obtained from ancestral species of wheat and other registered wheat
has brought about critical research, especially in wheat breeding, and shown great potential …

Prediction of live body weight based on body measurements in Thalli sheep under tropical conditions of Pakistan using CART and MARS

A Faraz, C Tirink, E Eyduran, A Waheed… - Tropical Animal Health …, 2021 - Springer
Thalli sheep is a significant breed reared under tropical region of Punjab province of
Pakistan. The present study was conducted to predict live body weight (LBW) by means of …

Usage of the XGBoost and MARS algorithms for predicting body weight in Kajli sheep breed

A Faraz, C Tırınk, H Önder, U Şen, HM Ishaq… - Tropical Animal Health …, 2023 - Springer
This study aimed to utilize the XGBoost and MARS algorithms to predict present weight from
body measurements. The algorithms have the potential to model nonlinear relationships …

Yield prediction models of organic oil rose farming with agricultural unmanned aerial vehicles (UAVs) images and machine learnaing algorithms

S Demir, M Dedeoğlu, L Başayiğit - Remote Sensing Applications: Society …, 2024 - Elsevier
The alternative solution for predicting yields involves leveraging the latest technological
advancements in unmanned aerial vehicles (UAVs) imagery. This approach aims to …

Evaluation of PM10 concentration by using Mars and XGBOOST algorithms in Iğdır Province of Türkiye

S Tırınk, B Öztürk - International Journal of Environmental Science and …, 2023 - Springer
Air pollution is extremely harmful to human health, ecosystems and the climate. In this
context, the level of particulate matter at high concentrations is one of the most important …

Use of multivariate adaptive regression splines algorithm to predict body weight from body measurements of anatolian buffaloes in türkiye

O Ağyar, C Tırınk, H Önder, U Şen, D Piwczyński… - Animals, 2022 - mdpi.com
Simple Summary The present study was performed to estimate body weight (BW) from
several body measurements, such as tail length (TL), shoulder height (SH), withers height …

Comparison of the data mining and machine learning algorithms for predicting the final body weight for Romane sheep breed

C Tırınk, H Önder, D Francois, D Marcon, U Şen… - Plos one, 2023 - journals.plos.org
The current study aimed to predict final body weight (weight of fourth months of age to select
the future reproducers) by using birth weight, birth type, sex, suckling weight, age at suckling …

Estimation of body weight based on biometric measurements by using random forest regression, support vector regression and CART algorithms

C Tırınk, D Piwczyński, M Kolenda, H Önder - Animals, 2023 - mdpi.com
Simple Summary This study aimed to estimate body weight from various biometric
measurements and features such as genotype (share of Suffolk and Polish Merino …

Use of MARS algorithm for predicting mature weight of different camel (Camelus dromedarius) breeds reared in Pakistan and morphological characterization via …

A Fatih, S Celik, E Eyduran, C Tirink, MM Tariq… - Tropical Animal Health …, 2021 - Springer
Mature weight is a significant trait that can be influenced by age, sex, breed, production
system, and climate conditions in camels. In camel breeding, it is essential to describe breed …