Short-term load forecasting for microgrid energy management system using hybrid SPM-LSTM
Load forecasting in power microgrids and load management systems is still a challenge and
needs an accurate method. Although in recent years, short-term load forecasting is done by …
needs an accurate method. Although in recent years, short-term load forecasting is done by …
Review of image-based analysis and applications in construction
Image-based analysis techniques offer a robust way to solve engineering problems due to
the availability of visual data (eg, surveillance cameras). Hence, research efforts have …
the availability of visual data (eg, surveillance cameras). Hence, research efforts have …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
Unveiling the mechanism of construction workers' unsafe behaviors from an occupational stress perspective: A qualitative and quantitative examination of a stress …
The unsafe behavior of construction workers has been widely recognized as the key
contributor to accidents in the construction industry. Studies claim that cognitive factors are …
contributor to accidents in the construction industry. Studies claim that cognitive factors are …
A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process
Data driven-based building energy load prediction is of great value for building energy
management tasks such as fault diagnosis and optimal control. However, there are two …
management tasks such as fault diagnosis and optimal control. However, there are two …
Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles
This paper proposes a vision-based action recognition framework that considers the
sequential working patterns of earthmoving excavators for automated cycle time and …
sequential working patterns of earthmoving excavators for automated cycle time and …
Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework
L Fu, X Wang, H Zhao, M Li - Reliability Engineering & System Safety, 2022 - Elsevier
The deep foundation pit project (DFPP) in subway construction is characterized by a high
accident rate. Insufficient examination of the interactions among relevant safety risks often …
accident rate. Insufficient examination of the interactions among relevant safety risks often …
Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks
Capturing the working states of workers on foot allows managers to precisely quantify and
benchmark labor productivity, which in turn enables them to evaluate productivity losses and …
benchmark labor productivity, which in turn enables them to evaluate productivity losses and …
Fall prevention from scaffolding using computer vision and IoT-based monitoring
Fall from height (FFH) is the most significant cause of occupational fatalities in the
construction industry, accounting for approximately 54% of all accidents. Such fatalities have …
construction industry, accounting for approximately 54% of all accidents. Such fatalities have …
Vision-based method integrating deep learning detection for tracking multiple construction machines
Tracking construction machines in videos is a fundamental step in the automated
surveillance of construction productivity, safety, and project progress. However, existing …
surveillance of construction productivity, safety, and project progress. However, existing …