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Journal of Civil Engineering and Management Volume 21, 2015 - Issue 2
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Original Articles

Modelling masonry crew productivity using two artificial neural network techniques

İbrahim Halil GerekAdana Science and Technology University, Engineering and Natural Sciences Faculty, Civil Engineering Department, Adana, TurkeyCorrespondence[email protected]
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,
Ercan ErdisMustafa Kemal University, Engineering Faculty, Civil Engineering Department, 31200Iskenderun, Hatay, TurkeyView further author information
,
Gulgun MistikogluMustafa Kemal University, Antakya Vocational College, Antakya, Hatay, TurkeyView further author information
&
Mumtaz UsmenCollege of Engineering, Wayne State University, Detroit, MI, USAView further author information
Pages 231-238 | Received 02 Aug 2012, Accepted 17 Oct 2012, Published online: 22 Oct 2014

Citations (18)

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Hamad AlJassmi, Yusef Abduljalil & Babitha Philip. (2023) Towards self-recovering construction schedules: a new method for periodically updating project plans and optimizing recovery actions. Journal of Asian Architecture and Building Engineering 22:4, pages 2335-2347.
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Mohammed Hamza Momade, Shamsuddin Shahid, Ghaith Falah, Deprizon Syamsunur & Dave Estrella. (2023) Review of construction labor productivity factors from a geographical standpoint. International Journal of Construction Management 23:4, pages 697-707.
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Mohammed Hamza Momade, Shamsuddin Shahid, Mohd Rosli bin Hainin, Mohamed Salem Nashwan & Abdulhakim Tahir Umar. (2022) Modelling labour productivity using SVM and RF: a comparative study on classifiers performance. International Journal of Construction Management 22:10, pages 1924-1934.
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Ibrahim Halil Gerek, Ercan Erdis, Gulgun Mistikoglu & Mumtaz A. Usmen. (2016) Evaluation of plastering crew performance in building projects using data envelopment analysis. Technological and Economic Development of Economy 22:6, pages 926-940.
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A. Sivakumar, N. Bagath Singh, D. Arulkirubakaran & P. Praveen Vijaya Raj. (2022) Prediction of production facility priorities using Back Propagation Neural Network for bus body building industries: a post pandemic research article. Quality & Quantity 57:1, pages 561-585.
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Hongyu Xu, Ruidong Chang, Min Pan, Huan Li, Shicheng Liu, Ronald J. Webber, Jian Zuo & Na Dong. (2022) Application of Artificial Neural Networks in Construction Management: A Scientometric Review. Buildings 12:7, pages 952.
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Emil L. Jacobsen & Jochen Teizer. (2022) Deep Learning in Construction: Review of Applications and Potential Avenues. Journal of Computing in Civil Engineering 36:2.
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Alexander P. Svintsov & Abbas A. Abd Noor. (2022) Evaluation of the reliability of the erection of brick walls structures of low-rise residential buildings. Asian Journal of Civil Engineering 23:2, pages 187-201.
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Shicheng Liu, Ruidong Chang, Jian Zuo, Ronald J. Webber, Feng Xiong & Na Dong. (2021) Application of Artificial Neural Networks in Construction Management: Current Status and Future Directions. Applied Sciences 11:20, pages 9616.
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Tomasz Nowobilski. (2021) Calculation of the Population of Construction Scaffoldings Using Neural Networks. Applied Sciences 11:17, pages 8211.
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Okyanus ORAL, Emel Latali ORAL & Mehmet Sait ANDAÇ. (2021) Comparison of the Performance of K-Nearest Neighbours and Generalized Neural Network in Construction Crew Productivity Predictionİnşaat Ekibi Üretkenlik Tahmininde K-En Yakın Komşu ve Genelleştirilmiş Sinir Ağının Performansının Karşılaştırılması. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 36:1, pages 131-140.
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Sparsh Johari & Kumar Neeraj Jha. (2020) Impact of Work Motivation on Construction Labor Productivity. Journal of Management in Engineering 36:5.
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Li Lu, Jijun Zhang, Fan Yang & Yongjian Zhang. (2020) Evaluation and prediction on total factor productivity of Chinese petroleum companies via three-stage DEA model and time series neural network model. Sustainable Computing: Informatics and Systems 27, pages 100397.
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Imtiaz Ali Bhatti, Abd Halid Abdullah, Sasitharan Nagapan, Nabi Bux Bhatti, Muhammad Tahir Lakhiar & Muntazir Mahdi Mahar. (2019) Building Construction Labour Productivity in Arid Climate Environment. Journal of Applied Engineering Sciences 9:2, pages 125-130.
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Jun Yang. (2018) Enhancing action recognition of construction workers using data-driven scene parsing. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 24:7, pages 568-580.
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Abraham Assefa TsehayaeAminah Robinson Fayek. (2016) Developing and Optimizing Context-Specific Fuzzy Inference System-Based Construction Labor Productivity Models. Journal of Construction Engineering and Management 142:7.
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Adelajda Goetzke-Pala, Jerzy Hoła & Łukasz Sadowski. (2016) Non-destructive neural identification of the moisture content of saline ceramic bricks. Construction and Building Materials 113, pages 144-152.
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Abraham Assefa Tsehayae & Aminah Robinson Fayek. (2016) System model for analysing construction labour productivity. Construction Innovation 16:2, pages 203-228.
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