Abstract: Repetitive construction processes, as an essential element of construction industry, still rely intensively on manual execution and on-site decision-making. Within the proposal for ...
Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
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