Kassem et al., 2021 - Google Patents
Measuring and benchmarking the productivity of excavators in infrastructure projects: A deep neural network approachKassem et al., 2021
View PDF- Document ID
- 12355910560850511481
- Author
- Kassem M
- Mahamedi E
- Rogage K
- Duffy K
- Huntingdon J
- Publication year
- Publication venue
- Automation in Construction
External Links
Snippet
Inefficiencies in the management of earthmoving equipment greatly contribute to the productivity gap of infrastructure projects. This paper develops and tests a Deep Neural Network (DNN) model for estimating the productivity of excavators and establishing a …
- 230000001537 neural 0 title abstract description 26
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
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- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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- G06Q10/00—Administration; Management
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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- G06Q10/00—Administration; Management
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