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EEG-based workers' stress recognition at construction sites
EEG-based workers' stress recognition at construction sites
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EEG-based workers' stress recognition at construction sites

Jebelli, Houtan ; Hwang, Sungjoo ; Lee, SangHyun

Automation in construction, 2018-09, Vol.93, p.315-324 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Critical evaluation of off-site construction research: A Scientometric analysis
Critical evaluation of off-site construction research: A Scientometric analysis
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Critical evaluation of off-site construction research: A Scientometric analysis

Hosseini, M. Reza ; Martek, Igor ; Zavadskas, Edmundas Kazimieras ; Aibinu, Ajibade A. ; Arashpour, Mehrdad ; Chileshe, Nicholas

Automation in construction, 2018-03, Vol.87, p.235-247 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
A BIM-based automated site layout planning framework for congested construction sites
A BIM-based automated site layout planning framework for congested construction sites
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A BIM-based automated site layout planning framework for congested construction sites

Kumar, Srinath S. ; Cheng, Jack C.P.

Automation in construction, 2015-11, Vol.59, p.24-37 [Periódico revisado por pares]

Elsevier B.V

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4
Image-based construction hazard avoidance system using augmented reality in wearable device
Image-based construction hazard avoidance system using augmented reality in wearable device
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Image-based construction hazard avoidance system using augmented reality in wearable device

Kim, Kinam ; Kim, Hongjo ; Kim, Hyoungkwan

Automation in construction, 2017-11, Vol.83, p.390-403 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Construction waste recycling robot for nails and screws: Computer vision technology and neural network approach
Construction waste recycling robot for nails and screws: Computer vision technology and neural network approach
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Construction waste recycling robot for nails and screws: Computer vision technology and neural network approach

Wang, Zeli ; Li, Heng ; Zhang, Xiaoling

Automation in construction, 2019-01, Vol.97, p.220-228 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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6
Towards database-free vision-based monitoring on construction sites: A deep active learning approach
Towards database-free vision-based monitoring on construction sites: A deep active learning approach
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Towards database-free vision-based monitoring on construction sites: A deep active learning approach

Kim, Jinwoo ; Hwang, Jeongbin ; Chi, Seokho ; Seo, JoonOh

Automation in construction, 2020-12, Vol.120, p.103376, Article 103376 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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7
UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching
UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching
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UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching

Bang, Seongdeok ; Kim, Hongjo ; Kim, Hyoungkwan

Automation in construction, 2017-12, Vol.84, p.70-80 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning
Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning
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Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

Kim, Hongjo ; Kim, Hyoungkwan ; Hong, Yong Won ; Byun, Hyeran

Journal of computing in civil engineering, 2018-03, Vol.32 (2) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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9
Real-time monitoring of construction sites: Sensors, methods, and applications
Real-time monitoring of construction sites: Sensors, methods, and applications
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Real-time monitoring of construction sites: Sensors, methods, and applications

Rao, Aravinda S. ; Radanovic, Marko ; Liu, Yuguang ; Hu, Songbo ; Fang, Yihai ; Khoshelham, Kourosh ; Palaniswami, Marimuthu ; Ngo, Tuan

Automation in construction, 2022-04, Vol.136, p.104099, Article 104099 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning
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AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning

Kamari, Mirsalar ; Ham, Youngjib

Automation in construction, 2022-02, Vol.134, p.104091, Article 104091 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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