Up a level |
Prasetyo, Eko and Suciati, Nanik and Fatichah, Chastine (2022) Multi-level residual network VGGNet for fish species classification. Journal of King Saud University – Computer and Information Sciences, 34 (8). pp. 5286-5295. ISSN 1319-1578
Prasetyo, Eko and Suciati, Nanik and Fatichah, Chastine (2022) Yolov4-tiny with wing convolution layer for detecting fish body part. Computers and Electronics in Agriculture, 198 (107023). pp. 1-13. ISSN 0168-1699
Prasetyo, Eko and Purbaningtyas, Rani and Adityo, R Dimas and Suciati, Nanik and Fatichah, Chastine (2022) Combining MobileNetV1 and Depthwise Separable convolution bottleneck with Expansion for classifying the freshness of fish eyes. INFORMATION PROCESSING IN AGRICULTURE, 9 (4). pp. 485-496. ISSN 2214-3173
Prasetyo, Eko and Adityo, R Dimas and Suciati, Nanik and Fatichah, Chastine (2018) Multi-class K-support Vector Nearest Neighbor for Mango Leaf Classification. TELKOMNIKA Telecommunication, Computing, Electronics and Control, 16 (4). pp. 1826-1837. ISSN 1693-6930, e-ISSN: 2302-9293
Prasetyo, Eko and Adityo, R Dimas and Suciati, Nanik and Fatichah, Chastine (2017) Average and maximum weights in weightd rotation - and scale invariant lbp for classifitacion of mango leaves. Journal of Theoretical and Applied Information Technology, 95 (21). pp. 5756-5764. ISSN 1992-8645 E-ISSN: 1817-3195
Prasetyo, Eko and Suciati, Nanik and Fatichah, Chastine and Aminin, Aminin and Pardede, Eric Standardizing the fish freshness class during ice storage using clustering approach. Ecological Informatics, 80 (102533). pp. 1-12. ISSN 1574-9541