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Efficient estimation and optimization of building costs using machine learning

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Shen Zhang & Xuechun Li. (2023) A comparative study of machine learning regression models for predicting construction duration. Journal of Asian Architecture and Building Engineering 0:0, pages 1-17.
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Muhammad Ayat, Byunghoon Kim & Chang Wook Kang. (2023) A new data mining-based framework to predict the success of private participation in infrastructure projects. International Journal of Construction Management 23:13, pages 2151-2159.
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Tadeusz Kasprowicz, Anna Starczyk-Kołbyk & Robert. R. Wójcik. (2023) The randomized method of estimating the net present value of construction projects efficiency. International Journal of Construction Management 23:12, pages 2126-2133.
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Javad Mirzaei, Hossein Amiri Hanzaei, Hamed Khaleghi & Hamed Kashani. (2022) Cost estimation models for seismic retrofit of masonry school buildings. International Journal of Construction Management 0:0, pages 1-11.
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Nguyen Dang-Trinh, Pham Duc-Thang, Tran Nguyen-Ngoc Cuong & Tran Duc-Hoc. (2022) Machine learning models for estimating preliminary factory construction cost: case study in Southern Vietnam. International Journal of Construction Management 0:0, pages 1-9.
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Articles from other publishers (3)

Seokheon Yun. (2022) Performance Analysis of Construction Cost Prediction Using Neural Network for Multioutput Regression. Applied Sciences 12:19, pages 9592.
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Hossein Sohrabi & Esmatullah Noorzai. (2022) Risk-supported case-based reasoning approach for cost overrun estimation of water-related projects using machine learning. Engineering, Construction and Architectural Management.
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Tadeusz Kasprowicz, Anna Starczyk-Kołbyk & Robert Wójcik. (2021) Randomized Estimation of the Net Present Value of a Residential Housing Development. Applied Sciences 12:1, pages 124.
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