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Guessoum S, Belda S, Ferrandiz JM, Modiri S, Raut S, Dhar S, Heinkelmann R, Schuh H. The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN). Sensors. 2022; 22(23):9517. https://doi.org/10.3390/s22239517

Guessoum, Sonia, Santiago Belda, Jose M. Ferrandiz, Sadegh Modiri, Shrishail Raut, Sujata Dhar, Robert Heinkelmann, and Harald Schuh. 2022. "The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)" Sensors 22, no. 23: 9517. https://doi.org/10.3390/s22239517

Guessoum, S., Belda, S., Ferrandiz, J. M., Modiri, S., Raut, S., Dhar, S., Heinkelmann, R., & Schuh, H. (2022). The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN). Sensors, 22(23), 9517. https://doi.org/10.3390/s22239517