VGG16 in Batik Classification based on Random Forest

Author:

Arsa Dewa Made Sri,Susila Anak Agung Ngurah Hary

Publisher

IEEE

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Shallow quantum neural networks (SQNNs) with application to crack identification;Applied Intelligence;2024-01-02

2. Google Earth Engine-based morphometric parameter evaluation and comparative analysis of soil erosion susceptibility using statistical and machine learning algorithms in large river basins;Earth Science Informatics;2023-11-22

3. Batik Style Transfer into Fractal Shape;2023 14th International Conference on Information & Communication Technology and System (ICTS);2023-10-04

4. Comparative Analysis of Deep Learning Architectures for Masked Face Recognition: A Study of Performance and Robustness;2023 International Conference on Cyberworlds (CW);2023-10-03

5. Pre-Processing Of Resize And Region Of Interest (ROI) To Improve The Accuracy Of Batik Detection Based On VGG-16;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

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