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Short & long term forecasting of multimodal transport passenger flows with machine learning methods.

, , , , и . ITSC, стр. 560-566. IEEE, (2017)

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Latifa Jabnoun

Latifa Boursas

Latifa Yakhloufi-Konstroffer

Latifa Al-Abdulkarim

 

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Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework., , , , , и . ITSC, стр. 1351-1356. IEEE, (2012)Short & long term forecasting of multimodal transport passenger flows with machine learning methods., , , , и . ITSC, стр. 560-566. IEEE, (2017)Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks., , , и . Belief Functions, том 164 из Advances in Intelligent and Soft Computing, стр. 425-432. Springer, (2012)LSTM Encoder-Predictor for Short-Term Train Load Forecasting., , , , и . ECML/PKDD (3), том 11908 из Lecture Notes in Computer Science, стр. 535-551. Springer, (2019)Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context., , , , , и . ICMLA, стр. 632-637. IEEE Computer Society, (2009)Railway device diagnosis using sparse Independent Component Analysis., , , и . EUSIPCO, стр. 2042-2046. IEEE, (2009)Mixture Model Estimation with Soft Labels., , , и . SMPS, том 48 из Advances in Soft Computing, стр. 165-174. Springer, (2008)Joint segmentation of multivariate time series with hidden process regression for human activity recognition., , , , и . CoRR, (2013)Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time., , , , , и . CoRR, (2013)WSNs deployment framework based on the theory of belief functions., , , и . Comput. Networks, (2015)