Wang, J., & Wang, P. Simulation of dance performance analysis with microprocessor and machine vision interaction. 80. https://doi.org/10.1016/j.micpro.2020.103625
Jingjing Wang Pei WangAcceleration rates Classification Computer Vision dance Emotions Artist Express emotions Expression Facial Expressions Facial expression Field programmable gate arrays (FPGA) Intangible cultural heritages Learning algorithms machine learning Performance Performance analysis Performance based SDVM Stage performance Technical difficulties
Ver
Sotiropoulos, D. N., Tsihrintzis, G. A., Virvou, M., & Tsichrintzi, E. -A. Machine Learning in Intangible Cultural Analytics: The Case of Greek Songs Lyrics. 2021-November, 299-305. IEEE Computer Society. https://doi.org/10.1109/ICTAI52525.2021.00050
Dionisios Sotiropoulos George Tsihrintzis Maria Virvou Enangelia-Aikaterini TsichrintziComputer aided analysis Computer software Data base Data mining Digitisation E - learning Historic preservation Intangible cultural analytic Intangible cultural heritages Learning algorithms Lyric analytic machine learning Machine-learning Modeling languages Music Natural language processing systems Semantics Software-tools Song recommendation Work of art Data mining E-learning intangible cultural analytics lyrics analytics machine learning song recommendations text analysis
Ver
Putra, F. A., Jamil, D. A. C., Prabandanu, B. A., Faruq, S., Pradana, F. A., Alya, R. F., et al. (2021). Classification of Batik Authenticity Using Convolutional Neural Network Algorithm with Transfer Learning Method. Presentado en. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICIC54025.2021.9632937
F.A. Putra D.A.C. Jamil B.A. Prabandanu S. Faruq F.A. Pradana R.F. Alya H.A. Santoso F. Al Zami F.O. SaputraAuthentication Batik Batik authenticity classification Batik authenticity classification CNN Classification (of information) Convolution convolutional neural network Convolutional neural networks Crime Deep learning Historic preservation Indonesia Learning algorithms machine learning Machine learning models Machine-learning Neural networks algorithms Transfer learning Transfer learning Transfer learning methods
Ver
Zhang, X., & Jin, Y. (2023). A Method of Protecting Sensitive Information in Intangible Cultural Heritage Communication Network Based on Machine Learning. Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 13656 LNCS, 214-227. https://doi.org/10.1007/978-3-031-20099-1_18
X. Zhang Y. JinCharacteristic indices Communications networks Cryptography Data communication systems Intangible cultural heritages Learning algorithms machine learning Machine learning algorithms Machine-learning Network-based On-machines Sensitive informations Specific values Target tracking Targets tracking Telecommunication networks
Ver