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Numerical Simulation and Characteristic Analysis of Music Based on Nonlinear Equations

  
06 cze 2023

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Xi Xi, L., Jiu Ju, W., Dan, W., Wen Xiang, Q., Yan Ping, S., Yu Xin, T., & Wen Tian, D. (2022). Comparative analysis of brainwave music translated from spontaneous EEG between major depression disorders and healthy people. Brain-Apparatus Communication: A Journal of Bacomics, 1(1), 107-125. Search in Google Scholar

Anderson, I., Gil, S., Gibson, C., Wolf, S., Shapiro, W., Semerci, O., & Greenberg, D. M. (2021). “Just the Way You Are”: Linking Music Listening on Spotify and Personality. Social Psychological and Personality Science, 12(4), 561-572. Search in Google Scholar

Giordano, N., & Chatziioannou, V. (2021). Status and future of modeling of musical instruments: Introduction to the JASA special issue. The Journal of the Acoustical Society of America, 150(3), 2294-2301. Search in Google Scholar

Scheurich, R., Pfordresher, P. Q., & Palmer, C. (2020). Musical training enhances temporal adaptation of auditory-motor synchronization. Experimental Brain Research, 238(1), 81-92. Search in Google Scholar

Ducceschi, M., Bilbao, S., Willemsen, S., & Serafin, S. (2021). Linearly-implicit schemes for collisions in musical acoustics based on energy quadratisation. The Journal of the Acoustical Society of America, 149(5), 3502-3516. Search in Google Scholar

Jun, H., Chuan-Xi, L., Chun-Long, X., Wei-Xiong, L., Jun-Jian, Y., & Lozano, A. (2021). Decision-making system and verification of pavement diseases treatment scheme for highway reconstruction and extension. Applied Mathematics and Nonlinear Sciences, 6(1), 151-162. Search in Google Scholar

Gençoğlu, M., & Agarwal, P. (2021). Use of Quantum Differential Equations in Sonic Processes. Applied Mathematics and Nonlinear Sciences, 6(1), 21-28. Search in Google Scholar

Chen, W. (2022). A novel long short-term memory network model for multimodal music emotion analysis in affective computing. Journal of Applied Science and Engineering, 26(3), 367-376. Search in Google Scholar

Boughanmi, K., & Ansari, A. (2021). Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion. Journal of Marketing Research, 58(6), 1034-1057. Search in Google Scholar

Clayton, M., Jakubowski, K., Eerola, T., Keller, P. E., Camurri, A., Volpe, G., & Alborno, P. (2020). Interpersonal entrainment in music performance: theory, method, and model. Music Perception: An Interdisciplinary Journal, 38(2), 136-194 Search in Google Scholar

Li, J., Han, L., Li, X., Zhu, J., Yuan, B., & Gou, Z. (2022). An evaluation of deep neural network models for music classification using spectrograms. Multimedia Tools and Applications, 81(4), 4621-4647. Search in Google Scholar

Elpus, K. (2022). School music and the transition to college. Journal of Research in Music Education, 69(4), 402-424. Search in Google Scholar

Raposo, F. A., Martins de Matos, D., & Ribeiro, R. (2021). Assessing kinetic meaning of music and dance via deep cross-modal retrieval. Neural Computing and Applications, 33(21), 14481-14493. Search in Google Scholar

Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne