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Modular composite building in urgent emergency engineering projects: A case study of accelerated design and construction of Wuhan Thunder God Mountain/Leishenshan hospital to COVID-19 pandemic
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Modular composite building in urgent emergency engineering projects: A case study of accelerated design and construction of Wuhan Thunder God Mountain/Leishenshan hospital to COVID-19 pandemic

Chen, Ling-Kun ; Yuan, Rui-Peng ; Ji, Xing-Jun ; Lu, Xing-Yu ; Xiao, Jiang ; Tao, Jun-Bo ; Kang, Xin ; Li, Xin ; He, Zhen-Hua ; Quan, Shu ; Jiang, Li-Zhong

Automation in construction, 2021-04, Vol.124, p.103555-103555, Article 103555 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Road section traffic flow prediction method based on the traffic factor state network
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Road section traffic flow prediction method based on the traffic factor state network

Zhang, Weibin ; Zha, Huazhu ; Zhang, Shuai ; Ma, Lei

Physica A, 2023-05, Vol.618, p.128712, Article 128712 [Periódico revisado por pares]

Elsevier B.V

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On-site building of a Zn2+-conductive interfacial layer via short-circuit energization for stable Zn anode
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On-site building of a Zn2+-conductive interfacial layer via short-circuit energization for stable Zn anode

Xiao, Ping ; Xue, Lanlan ; Guo, Yanpeng ; Hu, Lintong ; Cui, Can ; Li, Huiqiao ; Zhai, Tianyou

Science bulletin (Beijing), 2021-03, Vol.66 (6), p.545-552 [Periódico revisado por pares]

Elsevier B.V

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Cluster analysis of simulated energy use for LEED certified U.S. office buildings
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Cluster analysis of simulated energy use for LEED certified U.S. office buildings

Heidarinejad, Mohammad ; Dahlhausen, Matthew ; McMahon, Sean ; Pyke, Chris ; Srebric, Jelena

Energy and buildings, 2014-12, Vol.85 (C), p.86-97 [Periódico revisado por pares]

Oxford: Elsevier B.V

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Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management
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Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management

Bruno, Silvana ; De Fino, Mariella ; Fatiguso, Fabio

Automation in construction, 2018-02, Vol.86, p.256-276 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Influence of building-site resonance and building properties on site-city interaction: A numerical investigation
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Influence of building-site resonance and building properties on site-city interaction: A numerical investigation

Chen, Shupei ; Liu, Qifang ; Zhai, Changhai ; Wen, Weiping

Soil dynamics and earthquake engineering (1984), 2022-07, Vol.158, p.107307, Article 107307 [Periódico revisado por pares]

Barking: Elsevier Ltd

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Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data
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Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data

Gao, Yuan ; Ruan, Yingjun ; Fang, Chengkuan ; Yin, Shuai

Energy and buildings, 2020-09, Vol.223, p.110156, Article 110156 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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Integrated product development and lifecycle management in building production – A case study for logistic of mortar distribution in building sites
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Integrated product development and lifecycle management in building production – A case study for logistic of mortar distribution in building sites

Duarte, Paulo Cesar ; Nakao, Fernando ; Ortenzi, Altibano

Journal of Building Engineering, 2020-11, Vol.32, p.101802-101802, Article 101802 [Periódico revisado por pares]

Elsevier Ltd

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Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
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Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

Qing, Xiangyun ; Niu, Yugang

Energy (Oxford), 2018-04, Vol.148, p.461-468 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Automatic damage detection of historic masonry buildings based on mobile deep learning
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Automatic damage detection of historic masonry buildings based on mobile deep learning

Wang, Niannian ; Zhao, Xuefeng ; Zhao, Peng ; Zhang, Yang ; Zou, Zheng ; Ou, Jinping

Automation in construction, 2019-07, Vol.103, p.53-66 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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