A Thermal Model Comparison Study.

1977 ◽  
Author(s):  
Reynaldo S. Elizondo
Keyword(s):  
Thermal Model ◽  
Model Comparison ◽  
Comparison Study

scholarly journals Deep Learning Model Comparison for Vision-Based Classification of Full/Empty-Load Trucks in Earthmoving Operations

2019 ◽  
Vol 9 (22) ◽  
pp. 4871 ◽  
Author(s):  
Quan Liu ◽  
Chen Feng ◽  
Zida Song ◽  
Joseph Louis ◽  
Jian Zhou
Keyword(s):  
Deep Learning ◽  
Model Comparison ◽  
Surveillance Systems ◽  
Comparison Study ◽  
Learning Models ◽  
The Core ◽  
Dump Trucks ◽  
Deep Learning Model ◽  
Contact Field

Earthmoving is an integral civil engineering operation of significance, and tracking its productivity requires the statistics of loads moved by dump trucks. Since current truck loads’ statistics methods are laborious, costly, and limited in application, this paper presents the framework of a novel, automated, non-contact field earthmoving quantity statistics (FEQS) for projects with large earthmoving demands that use uniform and uncovered trucks. The proposed FEQS framework utilizes field surveillance systems and adopts vision-based deep learning for full/empty-load truck classification as the core work. Since convolutional neural network (CNN) and its transfer learning (TL) forms are popular vision-based deep learning models and numerous in type, a comparison study is conducted to test the framework’s core work feasibility and evaluate the performance of different deep learning models in implementation. The comparison study involved 12 CNN or CNN-TL models in full/empty-load truck classification, and the results revealed that while several provided satisfactory performance, the VGG16-FineTune provided the optimal performance. This proved the core work feasibility of the proposed FEQS framework. Further discussion provides model choice suggestions that CNN-TL models are more feasible than CNN prototypes, and models that adopt different TL methods have advantages in either working accuracy or speed for different tasks.

Modelling drainage fluxes in managed and natural forests in the Dinaric karst: a model comparison study

2010 ◽  
Vol 129 (4) ◽  
pp. 729-740 ◽  
Author(s):  
Urša Vilhar ◽  
Michael Starr ◽  
Klaus Katzensteiner ◽  
Primož Simončič ◽  
Lučka Kajfež-Bogataj ◽  
...  
Keyword(s):  
Model Comparison ◽  
Comparison Study ◽  
Natural Forests ◽  
Dinaric Karst

A model comparison study of large-scale mantle–lithosphere dynamics driven by subduction

2008 ◽  
Vol 171 (1-4) ◽  
pp. 224-234 ◽  
Author(s):  
Mark OzBench ◽  
Klaus Regenauer-Lieb ◽  
Dave R. Stegman ◽  
Gabriele Morra ◽  
Rebecca Farrington ◽  
...  
Keyword(s):  
Large Scale ◽  
Model Comparison ◽  
Mantle Lithosphere ◽  
Comparison Study ◽  
Lithosphere Dynamics

scholarly journals Learning Towards Transportation Network Equilibrium: A Model Comparison Study

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 155737-155747
Author(s):  
Jianguo Song ◽  
Hang Qi ◽  
Guangchao Wang
Keyword(s):  
Model Comparison ◽  
Transportation Network ◽  
Network Equilibrium ◽  
Comparison Study

scholarly journals Surface Mixed Layer Profile of Physical and Biogeochemical Variables in the Subpolar North-West and -East Atlantic Ocean: A Data-Model Comparison Study

2015 ◽  
Vol 05 (01) ◽  
pp. 33-44
Author(s):  
Nsikak U. Benson ◽  
Francis E. Asuquo ◽  
Oladele O. Osibanjo ◽  
Usoro M. Etesin ◽  
Adebusayo E. Adedapo
Keyword(s):  
Atlantic Ocean ◽  
Mixed Layer ◽  
Data Model ◽  
Model Comparison ◽  
Surface Mixed Layer ◽  
Comparison Study ◽  
East Atlantic ◽  
North West
Sign in / Sign up

Export Citation Format

Share Document