Author:
Nakashima Kento,Nagata Fusaomi,Ochi Hiroaki,Otsuka Akimasa,Ikeda Takeshi,Watanabe Keigo,Habib Maki K.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Reference9 articles.
1. Tada H, Sugiura A (2017) Defect classification on automobile tire inner surfaces using convolutional Neural networks. Comput Commun Control Autom pp 17–18
2. Cha Y, Choi W, Buyukozturk O (2017) Deep learning-based crack damage detection using convolutional neural networks. Comput-Aided Civ Infrastruct Eng pp 1–18
3. Tokuno K, Nagata F, Otsuka A, Watanabe K (2018) Defect inspection system using deep convolutional neural networks. Proc Jpn Soc Mech Eng pp 35–39 (in Japanese)
4. Tokuno K, Nagata F, Otsuka A, Watanabe K (2018) Defect inspection system using deep convolutional neural networks. In: Proceedings of the 2018 JSME conference on robotics and mechatronics (ROBOMECH2018) C2A2–K14, 3 pages, (in Japanese)
5. Tokuno K, Nagata F, Otsuka A, Watanabe K, Habib MK (2019) Design tool of convolutional neural network (CNN)- design of cascade-type CNN and Its application to defect detection. In: Proceedings of 24th international symposium on artificial life and robotics, pp 733–737
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