Application of Convolutional Neural Network Method with MobileNet V1 and ResNet-152 V2 Architecture in Batik Motif Classification
Bibliographic Data
| ID | 20037903 |
|---|---|
| Authors | Aulia Chusnyriani Sani Zulkarnaen (Telkom University), I Gusti Ngurah Rejski Ariantara Putra (Telkom University), Nada Fauzia Reviana (Telkom University), Rahmawati Hidayah (Telkom University), Nur Ibrahim (0000-0001-6427-0710, University of Indonesia, corresponding author), Nor Kumalasari Caecar Pratiwi (0000-0002-5216-3050, Telkom University), Yunendah Nur Fuadah (0000-0003-4285-4824, Telkom University) |
| Year | 2024 |
| Pages | 57-68 |
| Publication date | 2024-01-01 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Advances on Broad-Band and Wireless Computing, Communication and Applications (SOURCE_BOOK) |
| Publisher | Springer Nature Switzerland (PUBLISHER) |
| DOI | 10.1007/978-3-031-46784-4_6 |
| OpenAlex | W4388021929 |
| ISBN | 9783031467844 |
| Language | EN |
| References cited | 16 |
Artificial neural network · Convolutional neural network · Cultural heritage · Geography · Indonesian · Machine learning · Residual neural network · Computer Science · Computer Science and Engineering · Cultural and Artistic Studies · Architecture · Artificial Intelligence
| Highly cited | No |
|---|