Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term …
H Liu, X Mi, Y Li - Energy Conversion and Management, 2018 - Elsevier
High precision and reliable wind speed forecasting is important for the management of the
wind power. This paper develops a novel wind speed prediction model based on the WPD …
wind power. This paper develops a novel wind speed prediction model based on the WPD …
Risk factors and emerging technologies for preventing falls from heights at construction sites
Falls at construction sites account for approximately 50% of all accidents reported in the US
annually, making them the leading cause of injuries and fatalities. Although there have been …
annually, making them the leading cause of injuries and fatalities. Although there have been …
Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction
Predicting unsafe behaviour in advance can enable remedial measures to be put in place to
mitigate likely accidents on construction sites. Prevailing safety studies in construction tend …
mitigate likely accidents on construction sites. Prevailing safety studies in construction tend …
Federated graph neural network for fast anomaly detection in controller area networks
Due to the lack of CAN frame encryption and authentication, CAN bus is vulnerable to
various attacks, which can in general be divided into message injection, suspension, and …
various attacks, which can in general be divided into message injection, suspension, and …
Mapping computer vision research in construction: Developments, knowledge gaps and implications for research
Computer vision is transforming processes associated with the engineering and
management of construction projects. It can enable the acquisition, processing, analysis of …
management of construction projects. It can enable the acquisition, processing, analysis of …
Computer vision aided inspection on falling prevention measures for steeplejacks in an aerial environment
Falling from height accidents are a major cause of fatalities on construction sites. Despite a
lot of research conducted on the enhancement of safety training and removal of hazardous …
lot of research conducted on the enhancement of safety training and removal of hazardous …
Digital twin for intelligent tunnel construction
New-generation intelligent construction places higher demands on digitisation and
intelligence of tunnel. Digital twin (DT) effectively supports high-fidelity modelling, virtual-real …
intelligence of tunnel. Digital twin (DT) effectively supports high-fidelity modelling, virtual-real …
A new multi-data-driven spatiotemporal PM2. 5 forecasting model based on an ensemble graph reinforcement learning convolutional network
X Liu, M Qin, Y He, X Mi, C Yu - Atmospheric Pollution Research, 2021 - Elsevier
Spatiotemporal PM2. 5 forecasting technology plays an important role in urban traffic
environment management and planning. In order to establish a satisfactory high-precision …
environment management and planning. In order to establish a satisfactory high-precision …
Convolutional neural network: Deep learning-based classification of building quality problems
B Zhong, X Xing, P Love, X Wang, H Luo - Advanced Engineering …, 2019 - Elsevier
The rapid development of the construction industry in China has introduced unprecedented
quality-related problems in the country's building industry. In response to this issue, the …
quality-related problems in the country's building industry. In response to this issue, the …
Engineering Brain: Metaverse for future engineering
The past decade has witnessed a notable transformation in the Architecture, Engineering
and Construction (AEC) industry, with efforts made both in the academia and industry to …
and Construction (AEC) industry, with efforts made both in the academia and industry to …