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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
Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset
Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset
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Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset

Wu, Jixiu ; Cai, Nian ; Chen, Wenjie ; Wang, Huiheng ; Wang, Guotian

Automation in construction, 2019-10, Vol.106, p.102894, Article 102894 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
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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5
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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6
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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7
A critical review of vision-based occupational health and safety monitoring of construction site workers
A critical review of vision-based occupational health and safety monitoring of construction site workers
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A critical review of vision-based occupational health and safety monitoring of construction site workers

Zhang, Mingyuan ; Shi, Rui ; Yang, Zhen

Safety science, 2020-06, Vol.126, p.104658, Article 104658 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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8
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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9
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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10
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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