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When performing a task, it is more efficient and cost-effective to use multiple types of equipment. The equipment listed below can be used at various stages of construction. Construction Vehicles. Equipment for Earth Moving. Concrete Mixer Machines. Material Handling Equipment. Tremix System. Miscellaneous Equipment. 1.
Shallow learning refers to the majority of machine learning models proposed prior to 2006, including so-called shallow neural networks (neural networks with only one hidden layer of nodes). Deep learning itself is a branch of machine learning, which can be understood as neural networks with multiple hidden layers.
Journal of Computing in Civil Engineering Volume 36, Issue 5 September 2022 Abstract Data Availability Statement Acknowledgments References Abstract This paper presents a systematic method to create universally applicable synthetic training image datasets for computer vision-based construction object detection.
To evaluate the proposed method, a benchmark data set is created for five classes: a dump truck, excavator, loader, concrete mixer truck, and road roller. This benchmark data set includes various shapes and poses for each class to evaluate the generalization performance of the proposed construction equipment detection model.
Construction is a key pillar in the global economy, but it is also an industry that has one of the highest fatality rates. The goal of the current study is to employ machine learning in order to develop a framework based on which better-informed and interpretable injury-risk mitigation decisions can be made for construction sites.
Department of Civil, Construction and Environmental Engineering Iowa State University, Ames, IA 50011 Abstract: This paper aims at providing researchers and engineering professionals with a practical and comprehensive deep learning based solution to detect construction equipment from the very first step of its
B. Construction site layout and control C. Temporary and permanent soil erosion and sediment control (e.g., construction erosion control and permits, sediment transport, channel/outlet protection) D. Impact of construction on adjacent facilities E. Safety (e.g., construction, roadside, work zone) 9. Earthwork Construction and Layout 5–8
To reduce manual efforts in collecting information from construction procedural documents, selecting appropriate sensing techniques to collect data on the jobsite, and giving in-time feedback for progress monitoring and compliance checking, the authors: (1) proposed a semantic rule-based information extraction (IE) method to …
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