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Article
8
Involvement of Road Users from the Productive Age Group in Traffic Crashes in Saudi Arabia: An Investigative Study Using Statistical and Machine Learning Techniques
Islam, Kamrul
MDPI
2022
Involvement of Road Users from the Productive Age Group in Traffic Crashes in Saudi Arabia: An Investigative Study Using Statistical and Machine Learning Techniques
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Article
7
The effect of different mobile uses on crash frequency among young drivers: application of statistical models and clustering analysis
Gazder, Uneb
Informa UK limited, Trading as Taylor & Trancis Group
2022
The effect of different mobile uses on crash frequency among young drivers: application of statistical models and clustering analysis
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Article
4
Budget and cost contingency cart models for power plant projects
Arifuzzaman, Md
Vilnius Gediminas Technical University
2022
Budget and cost contingency cart models for power plant projects
-
Article
7
Random forest models for motorcycle accident prediction using naturalistic driving based big data
Outay, Fatma
University of Bahrain
2022
Random forest models for motorcycle accident prediction using naturalistic driving based big data
-
Article
6
Predicting Road Crash Severity Using Classifier Models and Crash Hotspots
Islam, Md. Kamrul
MDPI
2022
Predicting Road Crash Severity Using Classifier Models and Crash Hotspots
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Article
1
Prediction of Strength of Plain and Blended Cement Concretes Cured Under Hot Weather Using Quadratic Regression and ANN Tools
Nasir, Muhammad
Springer Nature
2022
Prediction of Strength of Plain and Blended Cement Concretes Cured Under Hot Weather Using Quadratic Regression and ANN Tools
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Article
1
Design and sustainability analyses of road base layers stabilized with traditional and nontraditional additives
Barbieri, Diego Maria
Elsevier Ltd.
2022
Design and sustainability analyses of road base layers stabilized with traditional and nontraditional additives
-
Article
1
Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment
Rahmanm, Muhammad Muhitur
University of Bahrain
2022
Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment
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Machine learning -- Essays
(3)
Artificial neural network -- Essays
(2)
Age group -- Saudi Arabia -- Essays
(1)
Carbon dioxide emissions -- Essays
(1)
CART -- Essays
(1)
CART models -- Saudi Arabia -- Essays
(1)
Causality analysis -- Essays
(1)
Clustering analysis -- Essays
(1)
Compressive strength -- Essays
(1)
Construction cost -- Essays
(1)
cost contingency -- Essays
(1)
Crash probabilities -- Essays
(1)
Crash severity -- Essays
(1)
Crash types -- Essays
(1)
Curing regime -- Essays
(1)
Driver distractions -- Essays
(1)
Energy demand -- Essays
(1)
Ensembles -- Essays
(1)
Freeze-thaw cycles -- Essays
(1)
Fresh concrete temperature -- Essays
(1)
Greenhouse gas emission -- Essays
(1)
Hotspots -- Essays
(1)
Karachi -- Essays
(1)
Logistic regression models -- Essays
(1)
Mobile phone -- Essays
(1)
Motorcycle accident prediction -- Essays
(1)
Naturalistic driving based big data -- Essays
(1)
Pavement geotechnics -- Essays
(1)
Power plant -- Essays
(1)
Prediction -- Essays
(1)
project cost -- Essays
(1)
Quadratic regression models -- Essays
(1)
Random forest -- Essays
(1)
Road stabilization -- Essays
(1)
Road traffic accidents -- Saudi Arabia -- Essays
(1)
Road traffic crashes -- Saudi Arabia -- Essays
(1)
Road transport -- Essays
(1)
Saudi Arabia -- Essays
(1)
Support vector regression -- Essays
(1)
Sustainable environmental -- Essays
(1)
Thickness reduction -- Essays
(1)
Author
Arifuzzaman, Md
(1)
Barbieri, Diego Maria
(1)
Gazder, Uneb
(1)
Islam, Kamrul
(1)
Islam, Md. Kamrul
(1)
Nasir, Muhammad
(1)
Outay, Fatma
(1)
Rahmanm, Muhammad Muhitur
(1)
Publisher
MDPI
(2)
University of Bahrain
(2)
Elsevier Ltd.
(1)
Informa UK limited, Trading as Taylor & Trancis…
(1)
Springer Nature
(1)
Vilnius Gediminas Technical University
(1)