This paper proposes a methodology for building a robust instance segmentation model that
can effectively detect objects on construction sites under various weather conditions. We …

Material recognition for construction quality monitoring using deep learning methods | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …

Recent research has focused on visualizing and analyzing massive visual data
(images/videos) captured at construction sites to improve coordination, communication, and …

Developing deep neural network (DNN) models for computer vision applications for
construction is challenging due to the shortage of training data. To address this issue, we …

Visual data comprising images and videos has become an integral aspect of construction
management, potentially supplanting traditional paper-based site documentation. With the …

With each passing year, the consumption of electric energy in Brazil and the world
increases, making it necessary to adopt measures such as the construction of new plants …

Many accidents occur on construction sites leading to injury and death. According to the
Occupational Safety Health Administration (OSHA), falls, electrocutions, being struck …

While much of recent study in semi-supervised learning (SSL) has achieved strong
performance on single-label classification problems, an equally important yet underexplored …

This study presents a deep learning approach to measuring a brand's store image while
generating positioning maps using social media data. Store design and architecture were …

Background: Construction sites can be hazardous places. Behavior-based safety is a
method to optimize workers' behaviors and improve site safety. Previous behavior-based …