JKCI - Journal of the Korea Concrete Institute

1

Al Tahtawi, A. R. (2018) Kalman Filter Algorithm Design for HC-SR04 Ultrasonic Sensor Data Acquisition System. International Journal of Information Technology and Electrical Engineering (IJITEE) 2(1), 15-19.

2

Arlot, S., and Celisse, A. (2010) A Survey of Cross-Validation Procedures for Model Selection. Statistics Survey 4, 40-79.

3

Bergstra, J., and Bengio, Y. (2012) Random Search for Hyper-Parameter Optimization. Journal of Machine Learning Research 13, 281-305.

4

Dematteis, N., and Giordan, D. (2021) Comparison of Digital Image Correlation Methods and the Impact of Noise in Geoscience Applications. Remote Sensing 13(2), 327.

5

Glorot, X., Bordes, A., and Bengio, Y. (2011) Deep Sparse Rectifier Neural Networks. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics 15, 315-323.

6

Go, M.-S., Kim, Y.-M., and Kim, C. (2023) A Basic Study to Develop Structural Deformation Measurement and Visualization System Using Ultrasonic Sensors. Journal of the Korea Concrete Institute 35(5), 533-541. (In Korean)

7

Hastie, T., Tibshirani, R., and Friedman, J. (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). Springer

8

Hodson, T. O. (2022) Root-Mean-Square Error (RMSE) or Mean Absolute Error (MAE): When to Use Them or Not. Geoscientific Model Development 15, 5481-5487.

9

Hussein, B. M., and Shareef, S. M. (2024) An Empirical Study on the Correlation between Early Stopping Patience and Epochs in Deep Learning. ITM Web of Conferences 64, 01003.

10

Jelassi, S., and Li, Y. (2022) Towards Understanding How Momentum Improves Generalization in Deep Learning. Proceedings of the 39th International Conference on Machine Learning 162, 9965-10040.

11

Kingma, D. P., and Ba, J. (2014) Adam: A Method for Stochastic Optimization. International Conference on Learning Representations

12

Lazcano, A., Herrera, P. J., and Monge, M. (2023) A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting. Mathematics 11(1), 224.

13

Lee, H. B., Kim, J. W., and Jang, I. Y. (2012) Development of Automatic Crack Detection System for Concrete Structure Using Image Processing Method. Journal of the Korea Institute for Structural Maintenance and Inspection 16(1), 64-77. (In Korean)

14

MOLIT (2025) Press Release, September 29. Ministry of Land, Infrastructure and Transport (MOLIT) Sejong, Korea (In Korean)

15

Shen, Z., Yang, H., and Zhang, S. (2021) Neural Network Approximation: Three Hidden Layers Are Enough. Neural Networks 141, 160-173.

16

Tayfur, S. (2025) Assessing the Influences of Noise Suppression Filters on Ultrasonic Concrete Images Generated by an Innovative CMU-SAFT Algorithm. Arabian, Journal for Science and Engineering 50, 1601-1614.

17

Wei, W., Yang, Q., Yu, Y., Zhang, Z., and Zhou, Z. (2025) Analysis of Corn Deterioration Due to Molding Using Surface-Enhanced Raman Spectroscopy. BioResources 20(1), 186.

18

Wu, Y., and Liu, L. (2023) Selecting and Composing Learning Rate Policies for Deep Neural Networks. ACM Transactions on Intelligent Systems and Technology 14(2), 1-25.

19

Yenealem, B., Genetu, M., and Mamushet, E. (2025) Applications of Adaptive Filtering Techniques for Noise Cancellation Systems to the Ultrasonic Non-Destructive Evaluation (NDE). Journal of Electrical and Electronic Engineering 13(4), 168-183.

JKCIJournal of
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Journal of the Korea Concrete Institute

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JKCIJournal ofthe Korea Concrete Institute