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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Vydané v:	Procedia computer science Ročník 219; s. 345 - 353
Hlavní autori:	Shahrabadi, Somayeh, Gonzalez, Dibet, Sousa, Nuno, Adão, Telmo, Peres, Emanuel, Magalhães, Luís
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2023
Predmet:	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
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