Measuring and benchmarking the productivity of excavators in infrastructure projects: A deep neural network approach

Author:

Kassem Mohamad,Mahamedi Elham,Rogage Kay,Duffy Kieren,Huntingdon James

Funder

Innovate UK

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference69 articles.

1. Accelerometer-based measurement of construction equipment operating efficiency for monitoring environmental performance;Ahn,2013

2. Internet of things security, device authentication and access control: a review;Ali;Int. J. Comput. Sci. Inform. Secur.,2016

3. Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study;Arashpour;J. Build. Eng.,2020

4. A machine learning approach for predicting delays in construction logistics;Asadi;Int. J. Adv. Logist.,2015

5. Productivity enhancement for maintenance equipment operations using telematics technology;Aslan,2012

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