Intelligent optimized deep learning hybrid models of neuro wavelet, Fourier Series and Recurrent Kalman Filter for tidal currents constitutions forecasting

Hamed H.H. Aly

doi:10.1016/j.oceaneng.2020.108254

Intelligent optimized deep learning hybrid models of neuro wavelet, Fourier Series and Recurrent Kalman Filter for tidal currents constitutions forecasting

Hamed H.H. Aly

Institutional Research Division

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Original language	English
Article number	108254
Journal	Ocean Engineering
Volume	218
DOIs	https://doi.org/10.1016/j.oceaneng.2020.108254
Publication status	Published - Dec 15 2020

ASJC Scopus Subject Areas

Environmental Engineering
Ocean Engineering

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10.1016/j.oceaneng.2020.108254

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title = "Intelligent optimized deep learning hybrid models of neuro wavelet, Fourier Series and Recurrent Kalman Filter for tidal currents constitutions forecasting",

author = "Aly, {Hamed H.H.}",

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language = "English",

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JO - Ocean Engineering

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Intelligent optimized deep learning hybrid models of neuro wavelet, Fourier Series and Recurrent Kalman Filter for tidal currents constitutions forecasting

ASJC Scopus Subject Areas

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