Developing a prediction model for low-temperature fracture energy of asphalt mixtures using machine learning approach

Temperature Fracture

Prediction of low-temperature fracture resistance curves of unmodified and crumb rubber modified hot mix asphalt mixtures using a machine learning approach

Construction and Building Materials ◽

10.1016/j.conbuildmat.2021.125332 ◽

2022 ◽

Vol 314 ◽

pp. 125332

Author(s):

Sepehr Ghafari ◽

Mehrdad Ehsani ◽

Fereidoon Moghadas Nejad

Keyword(s):

Machine Learning ◽

Low Temperature ◽

Fracture Resistance ◽

Hot Mix Asphalt ◽

Crumb Rubber ◽

Asphalt Mixtures ◽

Learning Approach ◽

Temperature Fracture ◽

Resistance Curves

Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Approach

Studies in Big Data - Data Management and Analysis ◽

10.1007/978-3-030-32587-9_7 ◽

2019 ◽

pp. 103-116 ◽

Cited By ~ 1

Author(s):

Muhammad Younus ◽

Md Tahsir Ahmed Munna ◽

Mirza Mohtashim Alam ◽

Shaikh Muhammad Allayear ◽

Sheikh Joly Ferdous Ara

Keyword(s):

Diabetes Mellitus ◽

Machine Learning ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Prediction Model ◽

Learning Approach ◽

A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model

Advances in Intelligent Systems and Computing - Intelligent Computing ◽

10.1007/978-3-030-01177-2_11 ◽

2018 ◽

pp. 142-159 ◽

Cited By ~ 1

Author(s):

Mirza Mohtashim Alam ◽

Karishma Mohiuddin ◽

Md. Kabirul Islam ◽

Mehedi Hassan ◽

Md. Arshad-Ul Hoque ◽

...

Keyword(s):

Machine Learning ◽

Prediction Model ◽

Learning Approach ◽

Turn Over

Evolving a prediction model based on machine learning approach for hydrogen sulfide removal from sour condensate of south pars natural gas processing plant

Journal of Natural Gas Science and Engineering ◽

10.1016/j.jngse.2015.08.012 ◽

2015 ◽

Vol 27 ◽

pp. 74-81 ◽

Cited By ~ 5

Author(s):

Hooman Adib ◽

Askar Sabet ◽

Abbas Naderifar ◽

Marjan Adib ◽

Massoud Ebrahimzadeh

Keyword(s):

Machine Learning ◽

Hydrogen Sulfide ◽

Natural Gas ◽

Prediction Model ◽

Processing Plant ◽

Learning Approach ◽

Gas Processing ◽

Sulfide Removal ◽

Hydrogen Sulfide Removal ◽

Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach

International Journal of Medical Informatics ◽

10.1016/j.ijmedinf.2020.104272 ◽

2020 ◽

Vol 143 ◽

pp. 104272

Author(s):

David S. Lindberg ◽

Mattia Prosperi ◽

Ragnhildur I. Bjarnadottir ◽

Jaime Thomas ◽

Marsha Crane ◽

...

Keyword(s):

Machine Learning ◽

Quality Of Care ◽

Prediction Model ◽

Risk Prediction ◽

Administrative Data ◽

Fall Risk ◽

Risk Prediction Model ◽

Learning Approach ◽

International Journal of Advanced Research in Computer Science and Software Engineering ◽

Student Performance Prediction Model using Machine Learning Approach: The Case of Wolkite University

10.23956/ijarcsse/v7i2/01219 ◽

2017 ◽

Vol 7 (2) ◽

pp. 46-50 ◽

Cited By ~ 2

Author(s):

Ermiyas Birihanu Belachew ◽

◽

Feidu Akmel Gobena ◽

Keyword(s):

Machine Learning ◽

Prediction Model ◽

Student Performance ◽

Performance Prediction ◽

Learning Approach ◽

Accelerated identification of high-performance catalysts for low-temperature NH3-SCR by machine learning

Journal of Materials Chemistry A ◽

10.1039/d1ta06772a ◽

2021 ◽

Author(s):

Yi Dong ◽

Yu Zhang ◽

Mingchu Ran ◽

Xiao Zhang ◽

Shaojun Liu ◽

...

Keyword(s):

Machine Learning ◽

Low Temperature ◽

High Performance ◽

Rapid Screening ◽

Learning Approach ◽

Scr Catalyst ◽

Nh3 Scr ◽

A machine learning approach for SCR catalyst discovery is presented to realize the rapid screening of optimal catalysts.

Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach

The Lancet Digital Health ◽

10.1016/s2589-7500(19)30216-x ◽

2020 ◽

Vol 2 (1) ◽

pp. e37-e48 ◽

Cited By ~ 2

Author(s):

Avi Rosenfeld ◽

David G Graham ◽

Sarah Jevons ◽

Jose Ariza ◽

Daryl Hagan ◽

...

Keyword(s):

Machine Learning ◽

Prediction Model ◽

Risk Prediction ◽

Case Control ◽

Risk Prediction Model ◽

Learning Approach ◽

Barrett's Oesophagus ◽

Development And Validation ◽

Control Machine

2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) ◽

Designing Disease Prediction Model Using Machine Learning Approach

10.1109/iccmc.2019.8819782 ◽

2019 ◽

Cited By ~ 8

Author(s):

Dhiraj Dahiwade ◽

Gajanan Patle ◽

Ektaa Meshram

Keyword(s):

Machine Learning ◽

Prediction Model ◽

Learning Approach ◽

Disease Prediction ◽

Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach

Heart & Lung ◽

10.1016/j.hrtlng.2017.09.003 ◽

2017 ◽

Vol 46 (6) ◽

pp. 405-411 ◽

Cited By ~ 8

Author(s):

Hend Mansoor ◽

Islam Y. Elgendy ◽

Richard Segal ◽

Anthony A. Bavry ◽

Jiang Bian

Keyword(s):

Machine Learning ◽

Myocardial Infarction ◽

Hospital Mortality ◽

Prediction Model ◽

Risk Prediction ◽

Risk Prediction Model ◽

St Elevation Myocardial Infarction ◽

Learning Approach ◽

St Elevation