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Prediction of Cryptocurrency Price Dynamics with Multiple Machine Learning Techniques.

, , , and . ICMLT, page 15-19. ACM, (2019)

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Prediction of Cryptocurrency Price Dynamics with Multiple Machine Learning Techniques., , , and . ICMLT, page 15-19. ACM, (2019)Corrigendum to “An improved criterion to select dominant modes from dynamic mode decomposition” Eur. J. Mech. B Fluids 62 (2017) 109–129, and . European Journal of Mechanics - B/Fluids, (2018)Eigensolution analysis of immersed boundary method based on volume penalization: applications to high-order schemes., , , , and . CoRR, (2021)Data-driven eigensolution analysis based on a spatio-temporal Koopman decomposition, with applications to high-order methods, , and . Journal of Computational Physics, (2021)A combined volume penalization / selective frequency damping approach for immersed boundary methods applied to high-order schemes., and . J. Comput. Phys., (2023)Eigensolution analysis of immersed boundary method based on volume penalization: Applications to high-order schemes., , , , and . J. Comput. Phys., (2022)Online Retail Sales Prediction with Integrated Framework of K-mean and Neural Network., , and . ICEME, page 115-118. ACM, (2019)An improved criterion to select dominant modes from dynamic mode decomposition, and . European Journal of Mechanics - B/Fluids, (March 2017)A combined volume penalization / selective frequency damping approach for immersed boundary methods applied to high-order schemes., and . CoRR, (2021)