Benchmarking Deep Learning models and hyperparameters for Bridge Defects Classification

Deep learning (DL) is becoming increasingly popular in numerous application fields within the current Fourth Industrial Revolution (4IR) era. This is mainly due to its capability for providing accurate predictions and reliable consistency in decision-making. Bridge engineering focused on structure m...

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Veröffentlicht in:	Procedia computer science Jg. 219; S. 345 - 353
Hauptverfasser:	Shahrabadi, Somayeh, Gonzalez, Dibet, Sousa, Nuno, Adão, Telmo, Peres, Emanuel, Magalhães, Luís
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2023
Schlagworte:	Benchmarking Bridge Defects Inspection Convolutional Neural Networks Deep Learning Learning Rate Objective Function Optimization Transfer Learning Transfer Learning Objective Function Optimization Learning Rate Benchmarking Bridge Defects Inspection Convolutional Neural Networks Deep Learning
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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