Derin Öğrenme Tabanlı Kalite Kontrol Uygulaması
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European Journal of Science and Technology
Reference10 articles.
1. Referans 1 Basile, F., Chiacchio, P., & Gerbasio, D. (2012). On the implementation of industrial automation systems based on PLC. IEEE Transactions on Automation Science and Engineering, 10(4), 990-1003.
2. Referans 2 Butuza, R., Nascu, I., Giurgioiu, O., & Crisan, R. (2014). Automation system based on SIMATIC S7 300 PLC, for a hydro power plant. Paper presented at the 2014 IEEE International Conference on Automation, Quality and Testing, Robotics.
3. Referans 3 Çimen, H., Palacios-Garcia, E. J., Çetinkaya, N., Kolbæk, M., Sciumè, G., Vasquez, J. C., & Guerrero, J. M. (2020). Generalization Capacity Analysis of Non-Intrusive Load Monitoring using Deep Learning. Paper presented at the 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON).
4. Referans 4 Lehr, J., Schlüter, M., & Krüger, J. (2019). Classification of Similar Objects of Different Sizes Using a Reference Object by Means of Convolutional Neural Networks. Paper presented at the 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
5. Referans 5 Li, L., Yu, Y., Bai, S., Hou, Y., & Chen, X. (2017). An Effective Two-Step Intrusion Detection Approach Based on Binary Classification and $ k $-NN. IEEE Access, 6, 12060-12073.
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