@inproceedings{9778ae96bfdb42249fa9b2e186c7596f,
title = "Evaluation of Damage Level for Ground Settlement Using the Convolutional Neural Network",
abstract = "In this study, a convolutional neural network (CNN)-based deep learning was applied to evaluate settlement of the ground. Firstly, the database of 1200 images was captured and labeled for three classes of damage levels. Seven CNN architectures were then selected for the transfer learning, in which the highest accuracy of approximately 96.11% for the testing set was observed from the DenseNet121 architecture. Herein, a comparison in terms of accuracy with various optimizers-algorithms for optimizing the loss function in machine learning-have been implemented in the DenseNet121 architecture. The goal of this study is to propose a better architecture with higher accuracy for practical applications in geotechnical engineering using the CNN technique. The results indicated that the DenseNet121 architecture using the Adam optimizer performed the most effectively with accuracies of 97.59%, 95.00%, and 96.11% on training, validation, and testing sets, respectively.",
keywords = "Convolutional neural network (CNN), Damage classification, Deep learning, Ground settlement",
author = "Park, {Sung Sik} and Tran, {Van Than} and Doan, {Nhat Phi} and Hwang, {Keum Bee}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 6th International Conference on Geotechnics, Civil Engineering and Structures, CIGOS 2021 ; Conference date: 28-10-2021 Through 29-10-2021",
year = "2022",
doi = "10.1007/978-981-16-7160-9_128",
language = "English",
isbn = "9789811671593",
series = "Lecture Notes in Civil Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1261--1268",
editor = "Cuong Ha-Minh and Tang, {Anh Minh} and Bui, {Tinh Quoc} and Vu, {Xuan Hong} and Huynh, {Dat Vu Khoa}",
booktitle = "CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure - Proceedings of the 6th International Conference on Geotechnics, Civil Engineering and Structures",
address = "Germany",
}