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Rock e geração beat
(2012)
MAPAS DE LA FICCIÓN EN LA ESCRITURA BEAT
(Universidad Nacional de La Rioja, 2018)
From beat tracking to beat expectation: Cognitive-based beat tracking for capturing pulse clarity through time
(Public Library of Science, 2020-11)
Pulse is the base timing to which western music is commonly notated, generally expressed by a listener by performing periodic taps with their hand or foot. This cognitive construction helps organize the perception of timed ...
Resumen de Tesis. Claudio Gajardo Cornejo. El beat chileno, el beat progresivo-psicodélico chileno y Los Sicodélicos (1964-1968)
(Universidad de Chile, Facultad de Artes, Dapartamento de Música, 2010)
Posicionamiento de Beat Productora en las agencias de publicidad de Cuenca
(Universidad del Azuay, 2013)
Efeitos do uso do binaural beats e suas aplicações no âmbito esportivo e do exercício físico: uma revisão narrativa
(Universidade Federal de São Paulo, 2022-02)
Introdução: Binaural Beats é uma ilusão auditiva causada quando dois tons de frequências semelhantes são ouvidos por meio de som estéreo como, por exemplo, fones de ouvido, tendo suas aplicações benéficas em diversas áreas, ...
On energy pumping, synchronization and beat phenomenon in a nonideal structure coupled to an essentially nonlinear oscillator
(Springer, 2009-04-01)
In this paper, we dealt with energy pumping, synchronization, and beat phenomenon in transients and steady-state vibrations (in a non-ideal structure (NIS)) having an attachment, coupled to an oscillator containing essential ...
On energy pumping, synchronization and beat phenomenon in a nonideal structure coupled to an essentially nonlinear oscillator
(Springer, 2009-04-01)
In this paper, we dealt with energy pumping, synchronization, and beat phenomenon in transients and steady-state vibrations (in a non-ideal structure (NIS)) having an attachment, coupled to an oscillator containing essential ...
N-BEATS-RNN: Deep learning for time series forecasting
(2020-12-01)
This work presents N-BEATS-RNN, an extended version of an existing ensemble of deep learning networks for time series forecasting, N-BEATS. We apply a state-of-the-art Neural Architecture Search, based on a fast and efficient ...