Transmission Line Visual Inspection Method Based on Neural Network Online Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21161-4_39
Reference8 articles.
1. Simons, T., Lee, D.J.: Efficient binarized convolutional layers for visual inspection applications on resource-limited FPGAs and ASICs. Electronics 10(13), 1511 (2021)
2. Kujawińska, A., Diering, M.: The impact of the organization of the visual inspection process on its effectiveness. Int. J. Adv. Manufact. Technol. 112(5–6), 1295–1306 (2021). https://doi.org/10.1007/s00170-020-06543-9
3. Plaza, B., López, D., Poyatos, D.: Characterization of joints between carbon fiber composite parts using a microstrip transmission line method. Sensors 21(4), 1142 (2021)
4. Samad, A., Hu, W.D., Shahzad, W., et al.: High-precision complementary metamaterial sensor using slotted microstrip transmission line. J. Sens. 2021(4), 1–13 (2021)
5. Myers, C.E., Lamppa, D.C., Jennings, C.A., et al.: The inductively driven transmission line: a passively coupled device for diagnostic applications on the Z pulsed power facility. Rev. Sci. Instrum. 92(3), 033501 (2021)
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