3D Cable Intelligent Management Platform Based on Parametric Modeling Technology
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4193-9_36
Reference12 articles.
1. Aso, N., Yanami, H., Ogawa, M.: Automatic parametric modeling technique for structural design standardization. IEEE Access 10, 81031–81041 (2022)
2. Singhadia, A., Pati, P.S., Singhal, C., Chakrabarti, I.: Efficient HEVC encoding to meet bitrate and PSNR requirements using parametric modeling. Circuits Syst. Signal Process. 41(8), 4479–4511 (2022)
3. Allerbo, O., Jörnsten, R.: Flexible, non-parametric modeling using regularized neural networks. Comput. Stat. 37(4), 2029–2047 (2022)
4. El Motaki, S., Yahyaouy, A., Gualous, H.: Modeling the correlation between the workload and the power consumed by a server using stochastic and non-parametric approaches. Softw. Pract. Exp. 52(10), 2177–2190 (2022)
5. Evers, E., de Jager, B., Oomen, T.: Incorporating prior knowledge in local parametric modeling for frequency response measurements: applied to thermal/mechanical systems. IEEE Trans. Control Syst. Technol. 30(1), 142–152 (2022)
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