Using Multivariable Linear Regression Technique for Modeling Productivity Construction in Iraq

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Open Journal of Civil Engineering

ISSN Print: 2164-3164
ISSN Online: 2164-3172
www.scirp.org/journal/ojce
E-mail: ojce@scirp.org

Google-based Impact Factor: 1.16
Citations

Journals Menu

"Using Multivariable Linear Regression Technique for Modeling Productivity Construction in Iraq"
written by Faiq Mohammed Sarhan Al-Zwainy, Mohammed Hashim Abdulmajeed, Hadi Salih Mijwel Aljumaily,
published by Open Journal of Civil Engineering, Vol.3 No.3, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Machine learning for construction crew productivity prediction using daily work reports
	Automation in …, 2023

[2]	Manufacturing management of productivity in the steel industry using system dynamics modelling and statistical evaluation
	… of Industrial and …, 2023

[3]	Improvement of Productivity in Buildings Construction
	Selected Scientific Papers …, 2023

[4]	Integrate WBS and Forecast Task Completion in Construction Projects using Data Analytics
	2023 International Conference on …, 2023

[5]	DEVELOPMENT OF A PREDICTIVE REGRESSION MODEL FOR ESTIMATING CONSTRUCTION PERFORMANCE OF ETHIOPIAN FEDERAL ROAD PROJECTS
	2023

[6]	Assessment the effect of labor motivation on construction productivity
	Aziz, HE Hossny - NeuroQuantology, 2022

[7]	A Review Paper on Prediction of Construction Productivity Using Artificial Neural Network Model
	International Journal of Science and Research, 2022

[8]	Construction productivity prediction through Bayesian networks for building projects: Case from Vietnam
	Engineering, Construction and Architectural …, 2022

[9]	Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity
	Engineering, Construction and Architectural …, 2022

[10]	The Impact of Buildability Factors on Formwork in Residential Building Construction
	2021

[11]	Effect of Agricultural Subsidy on Farm Income of Commercial Vegetable Farmers of Makwanpur and Dhading Districts, Nepal
	2021

[12]	Concrete Pouring Production Rate Estimation: A Bayesian Network Approach
	2020

[13]	Predicting productivity in construction industry utilizing multiple linear regression technique and artificial neural network technique: A review for research and …
	Zwainy, FM Al-Zwainy, H Ala… - International Journal of …, 2020

[14]	MODELLING CONSTRUCTION LABOUR PRODUCTIVITY FROM LABOUR'S CHARACTERISTICS
	2020

[15]	Predicting productivity in construction industry utilizing multiple linear regression technique and artificial neural network technique: A review for research and applications
	International Journal of Web Engineering and Technology, 2020

[16]	Modelling labour productivity using SVM and RF: a comparative study on classifiers performance
	2020

[17]	Predicting Maintenance and Rehabilitation Cost for Buildings Based on Artificial Neural Network and Fuzzy Logic
	2020

[18]	Dynamic Feature Selection for Accurately Predicting Construction Productivity Using Symbiotic Organisms Search-Optimized Least Square Support Vector Machine
	2020

[19]	Evaluating Implementation of Electric Power Generation Projects in Iraq
	2020

[20]	Assessment of feature selection for student academic performance through machine learning classification
	2019

[21]	Bond the Gap between Academic and Industry Requirements for Undergraduate Civil Engineering Students in Iraq
	2019

[22]	Developing a Prediction Model to Predict the Construction Project Cost by Using Multiple Linear Regression Technique
	2019

[23]	ASSET CONDITION ASSESSMENT MODEL FRAMEWORK FOR HEALTHCARE FACILITIES
	2019

[24]	Determinant factors affecting farmers' income of rice farming in Indonesia
	2019

[25]	An Integrated regression-bootstrap sampling scheduling method for probabilistic duration range estimation of construction projects
	2019

[26]	Modelling manpower and equipment productivity in tall residential building projects in developing countries
	2018

[27]	Construction productivity fuzzy knowledge base management system
	Canadian Journal of Civil Engineering, 2018

[28]	Predicción de la resistencia térmica de las incrustaciones en los enfriadores de ácido sulfhídrico
	2018

[29]	The Application of Cobb-Douglas Function in Forecasting the Duration of Internet Public Opinions Caused by the Failure of Public Policies
	Journal of Systems Science and Systems Engineering, 2018

[30]	Diagnosing the Causes of Failure in the Construction Sector Using Root Cause Analysis Technique
	Journal of Engineering, 2018

[31]	Моделювання впливу макроекономічних факторів на ефективність банківської системи України
	2018

[32]	Asset Condition Assessment Model for Healthcare Facilities
	2018

[33]	Forecasting the Cost of Structure of Infrastructure Projects Utilizing Artificial Neural Network Model (Highway Projects as Case Study)
	2017

[34]	Factors affecting construction labour productivity in Iraq using Basra City as a case study
	2017

[35]	Optimising cost and availability estimates at the bidding stage of performance-based contracting
	2017

[36]	Merjenje in določanje produktivnosti proizvodnih podjetij: primer 20 MN stiskalnice aluminija v Impol PCP doo
	2017

[37]	Diagnose the Causes of Cost Deviation in Highway Construction Projects by Using Root Cause Analysis Techniques
	Arabian Journal for Science and Engineering, 2017

[38]	Modeling Manpower and Equipment Productivity in Tall Building Construction Projects
	Journal of The Institution of Engineers (India): Series A, 2017

[39]	Perception Variance of TACT Productivity between General Contractor and Subcontractors
	2016

[40]	Development of Rainfall Empirical Models for Osun Watershed, Nigeria
	British Journal of Applied Science & Technology, 2016

[41]	Building a Mathematical Model for Predicting the Cost of the Communication Towers Projects Using Multifactor Linear Regression Technique
	International Journal of Construction Engineering and Management, 2016

[42]	Toward a Sustainable World Institutional Buildings
	2016

[43]	Estimating Productivity of Brickwork item using Logistic and Multiple Regression Approaches
	2016

[44]	Application Intelligent Predicting Technologies in Construction Productivity
	2016

[45]	Labour Productivity Analysis Using Multi-variable Linear Regression
	International Research Journal of Engineering and Technology, 2016

[46]	Development Mathematical Model for Brick Works Productivity by Using Support Vector Machine
	2016

[47]	Development of Rainfall Empirical Models for Osun Watershed, Nigeria.
	2016

[48]	Institutional Factors Affecting A Transitional City: An Integrated Perspective On Housing Market Development In Yangon, Myanmar
	2015

[49]	Construction productivity model using fuzzy approach
	2015

[50]	Ergonomic Considerations in Workstation Design for Deburring Process at Mat Manufacturing
	International Journal of Innovations in Engineering and Technology (IJIET), 2015

[1]	Construction productivity prediction through Bayesian networks for building projects: case from Vietnam Engineering, Construction and Architectural Management, 2023 DOI:10.1108/ECAM-07-2021-0602

[2]	Machine learning for construction crew productivity prediction using daily work reports Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104891

[3]	Rendimiento de mano de obra en excavaciones a mano mediante regresión lineal. Caso de estudio: ciudad de Cuenca Ciencia Digital, 2023 DOI:10.33262/cienciadigital.v7i3.2629

[4]	Machine learning for construction crew productivity prediction using daily work reports Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104891

[5]	Improvement of Productivity in Buildings Construction Selected Scientific Papers - Journal of Civil Engineering, 2023 DOI:10.2478/sspjce-2023-0005

[6]	Machine learning for construction crew productivity prediction using daily work reports Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104891

[7]	Integrate WBS and Forecast Task Completion in Construction Projects using Data Analytics 2023 International Conference on Technology, Engineering, and Computing Applications (ICTECA), 2023 DOI:10.1109/ICTECA60133.2023.10490658

[8]	Machine learning for construction crew productivity prediction using daily work reports Automation in Construction, 2023 DOI:10.1016/j.autcon.2023.104891

[9]	Integrate WBS and Forecast Task Completion in Construction Projects using Data Analytics 2023 International Conference on Technology, Engineering, and Computing Applications (ICTECA), 2023 DOI:10.1109/ICTECA60133.2023.10490658

[10]	Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity Engineering, Construction and Architectural Management, 2022 DOI:10.1108/ECAM-08-2021-0692

[11]	Construction productivity prediction through Bayesian networks for building projects: case from Vietnam Engineering, Construction and Architectural Management, 2022 DOI:10.1108/ECAM-07-2021-0602

[12]	Modelling labour productivity using SVM and RF: a comparative study on classifiers performance International Journal of Construction Management, 2022 DOI:10.1080/15623599.2020.1744799

[13]	Trends in Civil Engineering and Challenges for Sustainability Lecture Notes in Civil Engineering, 2021 DOI:10.1007/978-981-15-6828-2_8

[14]	Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine Journal of Building Engineering, 2021 DOI:10.1016/j.jobe.2020.101973

[15]	Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine Journal of Building Engineering, 2021 DOI:10.1016/j.jobe.2020.101973

[16]	Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine Journal of Building Engineering, 2021 DOI:10.1016/j.jobe.2020.101973

[17]	Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine Journal of Building Engineering, 2020 DOI:10.1016/j.jobe.2020.101973

[18]	Concrete Pouring Production Rate Estimation: A Bayesian Network Approach Construction Research Congress 2020, 2020 DOI:10.1061/9780784482889.063

[19]	Predicting Maintenance and Rehabilitation Cost for Buildings Based on Artificial Neural Network and Fuzzy Logic International Journal of Computational Intelligence and Applications, 2020 DOI:10.1142/S1469026820500017

[20]	Evaluating Implementation of Electric Power Generation Projects in Iraq IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/901/1/012034

[21]	Assessment of feature selection for student academic performance through machine learning classification Journal of Statistics and Management Systems, 2019 DOI:10.1080/09720510.2019.1609729

[22]	Bond the Gap between Academic and Industry Requirements for Undergraduate Civil Engineering Students in Iraq IOP Conference Series: Materials Science and Engineering, 2019 DOI:10.1088/1757-899X/584/1/012001

[23]	Determinant factors affecting farmers’ income of rice farming in Indonesia IOP Conference Series: Earth and Environmental Science, 2019 DOI:10.1088/1755-1315/343/1/012115

[24]	Construction productivity fuzzy knowledge base management system Canadian Journal of Civil Engineering, 2018 DOI:10.1139/cjce-2017-0540

[25]	The Application of Cobb-Douglas Function in Forecasting the Duration of Internet Public Opinions Caused by the Failure of Public Policies Journal of Systems Science and Systems Engineering, 2018 DOI:10.1007/s11518-018-5384-6

[26]	Diagnosing the Causes of Failure in the Construction Sector Using Root Cause Analysis Technique Journal of Engineering, 2018 DOI:10.1155/2018/1804053

[27]	Forecasting the Cost of Structure of Infrastructure Projects Utilizing Artificial Neural Network Model (Highway Projects as Case Study) Indian Journal of Science and Technology, 2017 DOI:10.17485/ijst/2017/v10i19/108567

[28]	Forecasting the Cost of Structure of Infrastructure Projects Utilizing Artificial Neural Network Model (Highway Projects as Case Study) Indian Journal of Science and Technology, 2017 DOI:10.17485/ijst/2017/v10i20/108567

[29]	Modeling Manpower and Equipment Productivity in Tall Building Construction Projects Journal of The Institution of Engineers (India): Series A, 2017 DOI:10.1007/s40030-017-0256-5

[30]	Diagnose the Causes of Cost Deviation in Highway Construction Projects by Using Root Cause Analysis Techniques Arabian Journal for Science and Engineering, 2017 DOI:10.1007/s13369-017-2850-2

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Open Journal of Civil Engineering

Open Journal of Civil Engineering

Journals Menu

Home

About SCIRP

Service

Policies