Simulation research on music feature recognition based on mobile big data and smart sensors

[1] Lai, S.Y. and S.Y. Zeng, Discussion on the charm of music drama and its development throughout the whole world. Journal of Liuzhou Vocational & Technical College, 2011. Search in Google Scholar

[2] Hong, H. and W. Luo, The method of emotional education in music teaching. International Journal of Electrical Engineering Education, 2021: p. 002072092098355. Search in Google Scholar

[3] Zhao, Y., Cultural Characteristics and Literature Value of Traditional Guqin Music. Francis Academic Press, 2021(6). Search in Google Scholar

[4] Palmer, F.M., The Musical Conductors’ Association: Collective Podium Power in Wartime Britain? Music & Letters, 2021(3): p. 3. Search in Google Scholar

[5] Ng, H.H., The Value of Learning Collective Free Music Improvisation: Preservice Music Educators’ Perspectives. Journal of Music Teacher Education, 2021. 30(3): p. 40–53. Search in Google Scholar

[6] Dorris, J.L., et al., Effects of music participation for mild cognitive impairment and dementia: A systematic review and meta-analysis. Journal of the American Geriatrics Society, 2021. 69. Search in Google Scholar

[7] ChelaruCarmencarmen. Chelaru Gmail. ComProfessor, P.G.E.N., History – Culture – Music in the Romanian Eighteenth Century. Artes. Journal of Musicology, 2021. 23(1): p. 1–40. Search in Google Scholar

[8] Efimova, N.I. and A.I. Krapiva, The Russian Music Society in the Far-Eastern Republic: Bonds of History. 2021. Search in Google Scholar

[9] Holmes, H. and S.M. Hall, The silent music sheet, the replica tin and the unsewn button: Materialising nostalgia in the Marks and Spencer’s archive. Emotion Space and Society, 2021. 41(3): p. 100823. Search in Google Scholar

[10] Akuma, S., P. Obilikwu and E. Ahar, Sentiment Analysis of Social Media Content for Music Recommendation. 2021. Search in Google Scholar

[11] Brown, B., E. Geelhoed and A.J. Sellen, The Use of Conventional and New Music Media: Implications for Future Technologies. proc of interact’, 2001. Search in Google Scholar

[12] Hansryd and Jonas. 5G wireless communication beyond 2020. in Solid State Device Research Conference. 2015. Search in Google Scholar

[13] Henninger, M., et al., A Computationally Efficient 2D MUSIC Approach for 5G and 6G Sensing Networks. 2021. Search in Google Scholar

[14] Baratè, A., G. Haus and L.A. Ludovico, Advanced Experience of Music through 5G Technologies. Iop Conference, 2018. 364. Search in Google Scholar

[15] Fang, C., et al., Mapping Relation of Leakage Currents of Polluted Insulators and Discharge Arc Area. Frontiers in Energy Research, 2021. 9. Search in Google Scholar

[16] Jiang, H., et al., Crowd Flow Prediction for Social Internet-of-Things Systems Based on the Mobile Network Big Data. IEEE Transactions on Computational Social Systems, 2021. PP(99): p. 1–12. Search in Google Scholar

[17] Helmers, C., et al., Price Discrimination and Big Data: Evidence from a Mobile Puzzle Game. CEPR Discussion Papers, 2021. Search in Google Scholar

[18] Yi, H., et al., Investigate Jobs–Housing Spatial Relationship with Individual-Based Mobility Big Data of Public Housing Tenants: A Case Study in Chongqing, China. 2022. Search in Google Scholar

[19] Jiang, C., Network Security and Ideological Security Based on Wireless Communication and Big Data Analysis. Wireless Communications and Mobile Computing, 2022. 2022(3): p. 1–6. Search in Google Scholar

[20] Wang, Z., Y. Wan and H. Liang, The Impact of Cloud Computing-Based Big Data Platform on IE Education. Wireless Communications and Mobile Computing, 2022. 2022(JAN): p. 1–13. Search in Google Scholar

[21] Gao, Y., T. Shang and L. Ma, Mobile internet big data technology-based echo loss measurement method of optical communication system. Computers and Electrical Engineering, 2022. 101: p. 108097. Search in Google Scholar

[22] Navaz, A.N., et al., Towards an efficient and Energy-Aware mobile big health data architecture. Computer Methods and Programs in Biomedicine, 2018. 166: p. 137–154. Search in Google Scholar

[23] Paul, K., et al., Viable smart sensors and their application in data driven agriculture. Computers and Electronics in Agriculture, 2022. 198: p. 107096. Search in Google Scholar

[24] Che, H. and J. Wang, A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. IEEE Transactions on Neural Networks and Learning Systems, 2019. 30(8): p. 2503–2514. Search in Google Scholar

[25] Huang, H., et al., Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions. Computers, Environment and Urban Systems, 2021. 90: p. 101712. Search in Google Scholar

[26] Plageras, A.P., et al., Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings. Future Generation Computer Systems, 2018. 82: p. 349–357. Search in Google Scholar

[27] Lee, E. and K. Viswanath, Big Data in Context: Addressing the Twin Perils of Data Absenteeism and Chauvinism in the Context of Health Disparities Research. Journal of Medical Internet Research, 2020. 22(1). Search in Google Scholar

[28] Hao, F., et al., Treatment Planning in Smart Medical: A Sustainable Strategy. Journal of Information Processing Systems, 2016. 12(4): p. 711–723. Search in Google Scholar

[29] Zhang, W., Z. Zhang and H.C. Chao, Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management. IEEE Communications Magazine, 2017. 55(12): p. 60–67. Search in Google Scholar

[30] Nujum, A., et al., Towards an efficient and Energy-Aware mobile big health data architecture. Computer methods and programs in biomedicine, 2018. Search in Google Scholar

[31] Du, H. and Y. Guang, Analysis and research on SPSS clustering of mobile communication data under mobile signal interference. Boletin Tecnico/Technical Bulletin, 2017. 55(8): p. 210–217. Search in Google Scholar