Predicting labour productivity for formwork activities in high-rise building construction: a case study-Reference-Cited by-同舟云学术

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Predicting labour productivity for formwork activities in high-rise building construction: a case study

Published:2022-12-10 Issue:4 Volume:24 Page:959-968
ISSN:1563-0854
Container-title:Asian Journal of Civil Engineering
language:en
Short-container-title:Asian J Civ Eng

Author:

Bhilwade Vijay,Delhi Venkata Santosh Kumar,Nanthagopalan Prakash,Das Amit Kumar,Modi Keyur

Publisher

Springer Science and Business Media LLC

Subject

Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42107-022-00545-6.pdf

Reference22 articles.

1. Al-Sobiei, O. S., Arditi, D., & Polat, G. (2005). Predicting the risk of contractor default in Saudi Arabia utilizing artificial neural network (ANN) and genetic algorithm (GA) techniques. Construction Management and Economics, 23(4), 423–430.

2. Babu, G. A., Bhukya, S. N., & Kumar, R. S. (2013). Feed forward network with back propagation algorithm for detection of breast cancer. In 2013 8th International Conference on Computer Science & Education, IEEE, 181–185

3. Chakraborty, J. (2017). An unequal process of urbanisation. Economic and Political Weekly, 52(9), 90–94.

4. Chandrasekhar, S., & Sharma, A. (2015). Urbanization and spatial patterns of internal migration in India. Spatial Demography, Springer International Publishing, 3(2), 63–89.

5. Chen, J. H., & Hsu, S. C. (2007). Hybrid ANN-CBR model for disputed change orders in construction projects. Automation in Construction, 17(1), 56–64.

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1. Labour productivity in construction SMEs: Perspectives from South Africa;Acta Structilia;2023-06

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