Results 1 to 10 of about 3,566,037 (267)

Using Boosted Regression Tree, Logistic Model Tree, and Random Forest Algorithms to Evaluate the Groundwater Potential [PDF]

پژوهش‌های آبخیزداری, 2022
Groundwater is exploited uncontrollably due to population growth and industrialization in different parts of the world. The purpose of this study is to evaluate the groundwater potential by advanced machine learning algorithms using topographical ...
Seyed Ahmad Eslaminezhad, Mobin Eftekhari, Mohammad Akbari, Hadi Bayat, Wrya Barghi   +4 more
doaj   +1 more source

Global potential distribution of Oryctes rhinoceros, as predicted by Boosted Regression Tree model

Global Ecology and Conservation, 2022
Climate change is expected to have a significant influence on species range expansion, habitat shifts, and risk of biological invasion due to changes in survival rates, and rapid reproduction.
Mengmeng Hao, Owusu Fordjour Aidoo, Yushu Qian, Di Wang, Fangyu Ding, Tian Ma, Elizabeth Tettey, Kodwo Dadzie Ninsin, Angelina Fathia Osabutey, Christian Borgemeister   +9 more
doaj   +1 more source

Association of Leopard Cat Occurrence with Environmental Factors in Chungnam Province, South Korea

Animals, 2022
This study was conducted to investigate the association of leopard cat (Prionailurus bengalensis) occurrences and environmental factors in Chungnam Province, South Korea, using two different analytical approaches for binomial responses: boosted ...
Ok-Sik Chung, Jong Koo Lee
doaj   +1 more source

Forest stand susceptibility mapping during harvesting using logistic regression and boosted regression tree machine learning models

Global Ecology and Conservation, 2020
Economic and environmental consequences of harvesting operations are important in forestry because of the damages caused by tree felling and timber transportation.
Saeid Shabani, Hamid Reza Pourghasemi, Thomas Blaschke   +2 more
doaj   +1 more source

Use of Machine Learning to Predict the Glycemic Status of Patients with Diabetes

Medical Sciences Forum, 2022
In this work, a machine learning methodology is used to predict the progress of the glycemic values of six patients with diabetes. Eight different algorithms are compared i.e., ANN, PNN, Polynomial Regression, Gradient Boosted Trees Regression, Random ...
Alessandro Massaro, Nicola Magaletti, Gabriele Cosoli, Angelo Leogrande, Francesco Cannone   +4 more
doaj   +1 more source

Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility

Remote Sensing, 2020
The extreme form of land degradation through different forms of erosion is one of the major problems in sub-tropical monsoon dominated region. The formation and development of gullies is the dominant form or active process of erosion in this region.
Paramita Roy, Subodh Chandra Pal, Alireza Arabameri, Rabin Chakrabortty, Biswajeet Pradhan, Indrajit Chowdhuri, Saro Lee, Dieu Tien Bui   +7 more
doaj   +1 more source

Theoretical investigation on optimization of biodiesel production using waste cooking oil: Machine learning modeling and experimental validation

Energy Reports, 2022
In order to optimize productin of biodiesel from waste cooking oil utilizing Fe-exchanged montmorillonite 12 K10 (Fe-MMT K10) heterogeneous catalyst was applied in this work.
Abdulaziz Ibrahim Almohana, Sattam Fahad Almojil, Mohab Amin Kamal, Abdulrhman Fahmi Alali, Mehnaz Kamal, Samah Elsayed Alkhatib, Bassem F. Felemban, Mohammed Algarni   +7 more
doaj   +1 more source

Classification Prediction of PM₁₀ Concentration Using a Tree-Based Machine Learning Approach

Atmosphere, 2022
The PM10 prediction has received considerable attention due to its harmful effects on human health. Machine learning approaches have the potential to predict and classify future PM10 concentrations accurately.
Wan Nur Shaziayani, Ahmad Zia Ul-Saufie, Sofianita Mutalib, Norazian Mohamad Noor, Nazatul Syadia Zainordin   +4 more
doaj   +1 more source

Tropical Cyclones Intensity Prediction in the Western North Pacific Using Gradient Boosted Regression Tree Model

Frontiers in Earth Science, 2022
As an artificial intelligence method, machine learning (ML) has been widely used in prediction models of high-dimensional datasets. This study proposes an ML method, the Gradient Boosted Regression Tree (GBRT), to predict the intensity changes of ...
Gangya Zhu, Qinglan Li, Wei Zhao, Xinyan Lv, Chuanhai Qian, Qifeng Qian   +5 more
doaj   +1 more source

Ensemble modeling of black pomfret (Parastromateus niger) habitat in the Taiwan Strait based on oceanographic variables [PDF]

PeerJ, 2023
The location, effort, number of captures, and time of fishing were all used in this study to assess the geographic distribution of Parastromateus niger in the Taiwan Strait. Other species distribution models performed worse than generalized linear models
Sandipan Mondal, Ming An Lee, Yu-Kai Chen, Yi-Chen Wang   +3 more
doaj   +2 more sources