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
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
Zeyu, Z., Hao, W., Xiaoqin, Z., Fao, T., & Qiutong, R. (2022). Classification Model for Chinese Traditional Embroidery Based on Xception-TD. Data Analysis And Knowledge Discovery, 6, 338-347. https://doi.org/10.11925/infotech.2096-3467.2021.0909
Z. Zeyu W. Hao Z. Xiaoqin T. Fao R. QiutongComputer Vision Digital humanities Transfer learning Xception
Mindoro, J. N., Festijo, E. D., & De Guzman, M. T. G. (2021). A Comparative Study of Deep Transfer Learning Techniques for Cultural (Aeta) Dance Classification utilizing Skeleton-Based Choreographic Motion Capture Data. 74-79. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCIKE51210.2021.9410796
J.N. Mindoro E.D. Festijo M.T.G. De GuzmanAeta dances Behavioral research CNN Classification accuracy Classification approach Convolutional neural networks Deep learning Innovative approaches Intangible cultural heritages Intelligent computing Learning architectures Learning systems Markerless motion capture Monitoring applications Motion capture Motion capture data Musculoskeletal system Network architecture Transfer learning human motion Intangible cultural heritage (ICH) markerless motion capture device