0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Automating excavator productivity measurement using deep learning

Author(s): (Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne, UK)
(Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK)
ORCID (Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne, UK)
(School of Engineering, Newcastle University, Newcastle upon Tyne, UK)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, , n. 4, v. 174
Page(s): 1-13
DOI: 10.1680/jsmic.21.00031
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1680/jsmic.21.00031.
  • About this
    data sheet
  • Reference-ID
    10665556
  • Published on:
    09/05/2022
  • Last updated on:
    13/08/2022
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine