EventsThe 6th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarLucia Billeci
Citation
Bora Canbula, Tugba Ozacar, Ovunc Ozturk, Soil-Aware Deep Learning for Pile Integrity Testing: A CNN-Based Approach Using Real-World PIT Data, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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Soil-Aware Deep Learning for Pile Integrity Testing: A CNN-Based Approach Using Real-World PIT Data

1. Department of Computer Engineering, Manisa Celal Bayar University, Yunusemre, 45140 Manisa, Türkiye
Abstract
Keywords
pile integrity test
convolutional neural networks
soil characteristics
structural health monitoring