Localization Through Deep Learning in New and Low Sampling Rate Environments
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2262-4_24
Reference22 articles.
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4. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
5. Hoppe, R., Wölfle, G., Jakobus, U.: Wave propagation and radio network planning software winprop added to the electromagnetic solver package FEKO. In: International Applied Computational Electromagnetics Society Symposium - Italy (ACES), pp. 1–2 (2017)
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