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"Lee, Roger"

Results 7 resources

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Wang, H., Du, W., & Li, S. (2022). Key Issues for Digital Factory Designing and Planning: A Survey. In R. Lee (Ed.), Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (pp. 18–29). Springer International Publishing. https://doi.org/10.1007/978-3-030-92317-4_2

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Hao, Z., Jin, J., Liang, S., Cheng, S., & Shen, Y. (2023). A DCRC Model for Text Classification. In R. Lee (Ed.), Computer and Information Science (pp. 85–99). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_6

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Yao, M., Sun, H., Liang, S., Shen, Y., & Yukie, N. (2023). Hierarchical Medical Classification Based on DLCF. In R. Lee (Ed.), Computer and Information Science (pp. 101–115). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_7

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Caldas, W. L., Do Vale Madeiro, J. P., Pedrosa, R. C., Gomes, J. P. P., Du, W., & Marques, J. A. L. (2023). Noise Detection and Classification in Chagasic ECG Signals Based on One-Dimensional Convolutional Neural Networks. In R. Lee (Ed.), Computer and Information Science (Vol. 1055, pp. 117–129). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_8

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Caldas, W. L., do Vale Madeiro, J. P., Pedrosa, R. C., Gomes, J. P. P., Du, W., & Marques, J. A. L. (2023). Noise Detection and Classification in Chagasic ECG Signals Based on One-Dimensional Convolutional Neural Networks. In R. Lee (Ed.), Computer and Information Science (pp. 117–129). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_8

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Gois, F. N. B., Marques, J. A. L., de Oliveira Dantas, A. B., Santos, M. C., Neto, J. V. S., de Macêdo, J. A. F., Du, W., & Li, Y. (2023). Malaria Blood Smears Object Detection Based on Convolutional DCGAN and CNN Deep Learning Architectures. In R. Lee (Ed.), Computer and Information Science (pp. 197–212). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_14

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Gois, F. N. B., Marques, J. A. L., De Oliveira Dantas, A. B., Santos, M. C., Neto, J. V. S., De Macêdo, J. A. F., Du, W., & Li, Y. (2023). Malaria Blood Smears Object Detection Based on Convolutional DCGAN and CNN Deep Learning Architectures. In R. Lee (Ed.), Computer and Information Science (Vol. 1055, pp. 197–212). Springer International Publishing. https://doi.org/10.1007/978-3-031-12127-2_14

View on link.springer.com

Last update from database: 12/6/24, 1:01 AM (UTC)