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Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
Baduge, Shanaka Kristombu, Thilakarathna, Sadeep, Perera, Jude Shalitha, Arashpour, Mehrdad, Sharafi, Pejman, Teodosio, Bertrand, Shringi, Ankit, Mendis, Priyan
Published in Automation in construction (01.09.2022)
Published in Automation in construction (01.09.2022)
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Towards a semantic Construction Digital Twin: Directions for future research
Boje, Calin, Guerriero, Annie, Kubicki, Sylvain, Rezgui, Yacine
Published in Automation in construction (01.06.2020)
Published in Automation in construction (01.06.2020)
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Computer vision-based concrete crack detection using U-net fully convolutional networks
Liu, Zhenqing, Cao, Yiwen, Wang, Yize, Wang, Wei
Published in Automation in construction (01.08.2019)
Published in Automation in construction (01.08.2019)
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Cloud computing in construction industry: Use cases, benefits and challenges
Bello, Sururah A., Oyedele, Lukumon O., Akinade, Olugbenga O., Bilal, Muhammad, Davila Delgado, Juan Manuel, Akanbi, Lukman A., Ajayi, Anuoluwapo O., Owolabi, Hakeem A.
Published in Automation in construction (01.02.2021)
Published in Automation in construction (01.02.2021)
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3D vision technologies for a self-developed structural external crack damage recognition robot
Hu, Kewei, Chen, Zheng, Kang, Hanwen, Tang, Yunchao
Published in Automation in construction (01.03.2024)
Published in Automation in construction (01.03.2024)
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Pavement distress detection using convolutional neural networks with images captured via UAV
Zhu, Junqing, Zhong, Jingtao, Ma, Tao, Huang, Xiaoming, Zhang, Weiguang, Zhou, Yang
Published in Automation in construction (01.01.2022)
Published in Automation in construction (01.01.2022)
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A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends
Tang, Shu, Shelden, Dennis R., Eastman, Charles M., Pishdad-Bozorgi, Pardis, Gao, Xinghua
Published in Automation in construction (01.05.2019)
Published in Automation in construction (01.05.2019)
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A critical review of virtual and augmented reality (VR/AR) applications in construction safety
Li, Xiao, Yi, Wen, Chi, Hung-Lin, Wang, Xiangyu, Chan, Albert P.C.
Published in Automation in construction (01.02.2018)
Published in Automation in construction (01.02.2018)
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Blockchain-based framework for improving supply chain traceability and information sharing in precast construction
Wang, Zhaojing, Wang, Tengyu, Hu, Hao, Gong, Jie, Ren, Xu, Xiao, Qiying
Published in Automation in construction (01.03.2020)
Published in Automation in construction (01.03.2020)
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From BIM to extended reality in AEC industry
Alizadehsalehi, Sepehr, Hadavi, Ahmad, Huang, Joseph Chuenhuei
Published in Automation in construction (01.08.2020)
Published in Automation in construction (01.08.2020)
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Structural crack detection using deep convolutional neural networks
Ali, Raza, Chuah, Joon Huang, Talip, Mohamad Sofian Abu, Mokhtar, Norrima, Shoaib, Muhammad Ali
Published in Automation in construction (01.01.2022)
Published in Automation in construction (01.01.2022)
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Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance
Lu, Qiuchen, Xie, Xiang, Parlikad, Ajith Kumar, Schooling, Jennifer Mary
Published in Automation in construction (01.10.2020)
Published in Automation in construction (01.10.2020)
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