Prediction of interfaces of geological formations using the multivariate adaptive regression spline method by Xiaohui Qi, Hao Wang, Xiaohua Pan, Jian Chu, Kiefer Chiam

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Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling by W.G. Zhang, H.R. Li, C.Z. Wu, Y.Q. Li, Z.Q. Liu, H.L. Liu

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Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation by Pijush Samui, Mohamed A. Shahin

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Estimating hysteretic energy demand in steel moment resisting frames using Multivariate Adaptive Regression Spline and Least Square Support Vector Machine by Jatin Alreja, Shantaram Parab, Shivam Mathur, Pijush Samui

Subjects: “…Multivariate Adaptive Regression Spline…”
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Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility by Paramita Roy, Subodh Chandra Pal, Alireza Arabameri, Rabin Chakrabortty, Biswajeet Pradhan, Indrajit Chowdhuri, Saro Lee, Dieu Tien Bui

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A novel artificial intelligence approach for regolith geochemical grade prediction using multivariate adaptive regression splines by Fareed Majeed, Yao Yevenyo Ziggah, Charles Kusi-Manu, Bemah Ibrahim, Isaac Ahenkorah

Subjects: “…Multivariate adaptive regression spline…”
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Multi-species habitat models highlight the key importance of flooded reedbeds for inland wetland birds: implications for management and conservation by Michelangelo Morganti, Milo Manica, Giuseppe Bogliani, Marco Gustin, Federica Luoni, Paolo Trotti, Vincenzo Perin, Mattia Brambilla

Subjects: “…Multivariate adaptive regression spline…”
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Estimation of the Ultimate Strength of FRP Strips-to-Masonry Substrates Bond by Reza Kamgar, Houman Ebrahimpour Komleh, Anna Jakubczyk-Gałczyńska, Robert Jankowski

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Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters by Naser Safaeian Hamzehkolaei, Meysam Alizamir

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Integrated Modeling of Soil Erosion by Water and Wind Using Machine Learning Methods by Mehdi Jalali, Hamid Gholami, Marzieh Rezaie, Ebrahim Omidvar

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Predicting Benzene Concentration Using Machine Learning and Time Series Algorithms by Luis Alfonso Menéndez García, Fernando Sánchez Lasheras, Paulino José García Nieto, Laura Álvarez de Prado, Antonio Bernardo Sánchez

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The Role of Economic Freedom in Interpreting Corruption Perception by SERPİL KILIÇ DEPREN, Gülçin Yangın

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Investigation of affective traits affecting mathematics achievement by SEM and MARS methods by Çağla Kuddar, Sevda Çetin

Subjects: “…multivariate adaptive regression splines…”
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Poverty in Central Java using Multivariate Adaptive Regression Splines and Bootstrap Aggregating Multivariate Adaptive Regression Splines by Ria Dhea Layla Nur Karisma, Juhari Juhari, Ramadani A Rosa

Subjects: “…multivariate adaptive regression splines…”
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Comparison of Logistic Regression Model and MARS Using Multicollinearity Data Simulation by Ananto Wibowo, M. Rismawan Ridha

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Settlement prediction of the piles socketed into rock using multivariate adaptive regression splines by QiLi Zuo

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Advancing in creep index of soil prediction: A groundbreaking machine learning approach with Multivariate Adaptive Regression Splines by Mohammed E. Seno, Husein Ali Zeini, Hamza Imran, Mohammed Noori, Sadiq N. Henedy, Nouby M. Ghazaly

Subjects: “…Multivariate adaptive regression splines…”
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Two-step genomic prediction using artificial neural networks - an effective strategy for reducing computational costs and increasing prediction accuracy by Maurício de Oliveira Celeri, Cynthia Aparecida Valiati Barreto, Wagner Faria Barbosa, Leísa Pires Lima, Lucas Souza da Silveira, Ana Carolina Campana Nascimento, Moyses Nascimento, Camila Ferreira Azevedo

Subjects: “…multivariate adaptive regression splines; boosting; artificial neural network; genetic breeding.…”
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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

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Improved Prediction of the Higher Heating Value of Biomass Using an Artificial Neural Network Model Based on the Selection of Input Parameters by Justyna Kujawska, Monika Kulisz, Piotr Oleszczuk, Wojciech Cel

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