A Comparative Study of Machine Learning Methods for Compressive Strength of Concrete

Compressive Strength Of Concrete

Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods

Cement and Concrete Research ◽

10.1016/j.cemconres.2018.09.006 ◽

2019 ◽

Vol 115 ◽

pp. 379-388 ◽

Cited By ~ 35

Author(s):

Benjamin A. Young ◽

Alex Hall ◽

Laurent Pilon ◽

Puneet Gupta ◽

Gaurav Sant

Keyword(s):

Machine Learning ◽

Compressive Strength ◽

Statistical Analysis ◽

Learning Methods ◽

Compressive Strength Of Concrete

A Comparative Investigation Using Machine Learning Methods for Concrete Compressive Strength Estimation

Materials Today Communications ◽

10.1016/j.mtcomm.2021.102278 ◽

2021 ◽

pp. 102278

Author(s):

Kadir Güçlüer ◽

Abdurrahman Özbeyaz ◽

Samet Göymen ◽

Osman Günaydın

Keyword(s):

Machine Learning ◽

Compressive Strength ◽

Comparative Investigation ◽

Concrete Compressive Strength ◽

Learning Methods ◽

Machine learning methods for cyber security intrusion detection: Datasets and comparative study

Computer Networks ◽

10.1016/j.comnet.2021.107840 ◽

2021 ◽

Vol 188 ◽

pp. 107840

Author(s):

Ilhan Firat Kilincer ◽

Fatih Ertam ◽

Abdulkadir Sengur

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

Cyber Security ◽

Learning Methods ◽

A comparative study of machine learning methods for ordinal classification with absolute and relative information

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107358 ◽

2021 ◽

pp. 107358

Author(s):

Mengzi Tang ◽

Raúl Pérez-Fernández ◽

Bernard De Baets

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Methods ◽

Ordinal Classification ◽

Relative Information

Contribution of Machine Learning Methods to the Construction Industry: Prediction of Compressive Strength

Pamukkale University Journal of Engineering Sciences ◽

10.5505/pajes.2014.26121 ◽

2015 ◽

Vol 21 (3) ◽

pp. 109-114 ◽

Cited By ~ 7

Author(s):

Hamit Erdal

Keyword(s):

Machine Learning ◽

Compressive Strength ◽

Construction Industry ◽

Learning Methods ◽

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - Lecture Notes in Computer Science ◽

A Comparative Study of Machine Learning Methods for Detecting Promoters in Bacterial DNA Sequences

10.1007/978-3-540-85984-0_115 ◽

2008 ◽

pp. 959-966 ◽

Cited By ~ 2

Author(s):

Leonardo G. Tavares ◽

Heitor S. Lopes ◽

Carlos R. Erig Lima

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Dna Sequences ◽

Learning Methods ◽

Bacterial Dna ◽

Advances in Intelligent Systems and Computing - Knowledge and Systems Engineering ◽

A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction

10.1007/978-3-319-11680-8_46 ◽

2015 ◽

pp. 577-588 ◽

Cited By ~ 9

Author(s):

Duc-Hau Le ◽

Nguyen Xuan Hoai ◽

Yung-Keun Kwon

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Disease Gene ◽

Gene Prediction ◽

Learning Methods ◽

Disease Gene Prediction ◽

A Comparative Study of the Efficacy of Local/Global and Parametric/Nonparametric Machine Learning Methods for Establishing Structure–Property Linkages in High-Contrast 3D Elastic Composites

Integrating Materials and Manufacturing Innovation ◽

10.1007/s40192-019-00129-4 ◽

2019 ◽

Vol 8 (2) ◽

pp. 67-81 ◽

Cited By ~ 7

Author(s):

Patxi Fernandez-Zelaia ◽

Yuksel C. Yabansu ◽

Surya R. Kalidindi

Keyword(s):

Machine Learning ◽

Comparative Study ◽

High Contrast ◽

Structure Property ◽

Learning Methods ◽

Elastic Composites

Comparative Study of Machine Learning Methods for In-Vehicle Intrusion Detection

Computer Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-12786-2_6 ◽

2019 ◽

pp. 85-101 ◽

Cited By ~ 6

Author(s):

Ivo Berger ◽

Roland Rieke ◽

Maxim Kolomeets ◽

Andrey Chechulin ◽

Igor Kotenko

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

Learning Methods ◽

A comparative study between popular statistical and machine learning methods for simulating volume of landslides

CATENA ◽

10.1016/j.catena.2017.05.016 ◽

2017 ◽

Vol 157 ◽

pp. 213-226 ◽

Cited By ~ 54

Author(s):

Ataollah Shirzadi ◽

Himan Shahabi ◽

Kamran Chapi ◽

Dieu Tien Bui ◽

Binh Thai Pham ◽

...

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Methods ◽