Deep Ensemble Learning with CNNs, DPCNNs, and LSTMs for Construction Cost Classification

With the advancement of cost informationization in construction, the automatic classification of building project costs has become a key step to improving management efficiency. Traditional rule-based or manual methods are insufficient to handle increasingly complex engineering texts. To address thi...

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Detaylı Bibliyografya
Asıl Yazarlar:	Huajian Sun, Lin Qin, Guoqian Ren
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2025-11-01
Seri Bilgileri:	Buildings
Konular:	construction cost text classification convolutional neural network (CNN) deep pyramid convolutional neural network (DPCNN) long short-term memory (LSTM)
Online Erişim:	https://www.mdpi.com/2075-5309/15/23/4239
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Deep Ensemble Learning with CNNs, DPCNNs, and LSTMs for Construction Cost Classification

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