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1 Ιουλ 2006 · This paper describes the development of linear regression models to predict the construction cost of buildings, based on 286 sets of data collected in the United Kingdom. Raw cost is...
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This paper describes the development of linear regression...
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1 Αυγ 2023 · The review reports the contributions of extant literature which have so far focused on construction forecasting tools and techniques deployed to improve accuracy.
15 Σεπ 2020 · Construction cost predictions to reduce time risk assessment are indispensable steps for process of decision-making of managers. Machine learning techniques need adequate dataset size to model and forecast the cost of projects.
27 Ιουν 2022 · Various Artificial intelligence (AI) models were utilized for predicting the estimated cost of construction domains research.
9 Σεπ 2024 · Forecasting is a crucial aspect of construction cost management, as it allows for predicting and managing changes in the construction cost index. Accurate forecasting is important for effective estimation, budgeting, risk management, and resource allocation in construction projects.
15 Σεπ 2020 · Construction cost predictions to reduce time risk assessment are indispensable steps for process of decision-making of managers. Machine learning techniques need adequate dataset size to model and forecast the cost of projects.
Construction cost predictions to reduce time risk assessment are indispensable steps for process of decision-making of managers. Machine learning techniques need adequate dataset size to model and forecast the cost of projects.
