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Prasetyo, Eko and Suciati, Nanik and Fatichah, Chastine (2022) An Algorithm for Selecting the Head and Tail of an Intact Fish in the Overlapping Multi-fish Image for Freshness Detection. Information Technology International Seminar (ITIS). pp. 195-199. ISSN 979-8-3503-9819-9
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 Suciati, Nanik and Fatichah, Chastine (2020) A Comparison of YOLO and Mask R-CNN for Segmenting Head and Tail of Fish. International Conference on Informatics and Computational Sciences (ICICoS). pp. 1-16. ISSN 978 1 7281 9526 1
Prasetyo, Eko and Adityo, R Dimas and Suciati, Nanik and Fatichah, Chastine (2020) Partial Centroid Contour Distance (PCCD) in Mango Leaf Classification. International Journal on Advanced Science Engineering Information Technology, 1 (2). pp. 1920-1926. ISSN 2088-5334
Prasetyo, Eko and Suciati, Nanik and Adityo, R Dimas and Fatichah, Chastine (2019) Mango Leaf Classification with Boundary Moments of Centroid Contour Distances as Shape Features. Mango Leaf Classification with Boundary Moments of Centroid Contour Distances as Shape Features. pp. 335-338. ISSN 978-1-5386-7654-7
Prasetyo, Eko and Adityo, R Dimas and Suciati, Nanik and Fatichah, Chastine (2018) Reduksi Data Latih pada K-Support Vector Nearest Neighbor Menggunakan Entropy. Seminar Nasional Aplikasi Teknologi Informasi (SNATi) 2018. B-1-B-6. ISSN ISSN: 1907 – 5022
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 Adityo, R Dimas and Suciati, Nanik and Fatichah, Chastine (2017) Mango Leaf Image Segmentation on HSV and YCbCr Color Spaces Using Otsu Thresholding. International Conference on Science and Technology - Computer (ICST). pp. 1-5. ISSN 978-1-5386-1874-5
Prasetyo, Eko and Adityo, R Dimas and Suciati, Nanik and Fatichah, Chastine (2017) Deteksi Wilayah Cahaya Intensitas Tinggi Citra Daun Mangga untuk Ekstraksi Fitur Warna dan Tekstur Pada Klasifikasi Jenis Pohon Mangga. Seminar Nasional Teknologi Informasi, Komunikasi dan Industri (SNTIKI) 9. pp. 21-31. ISSN ISSN (Printed) : 2579-7271 ISSN (Online) : 2579-5406
Prasetyo, Eko and Suciati, Nanik and Fatichah, Chastine (0029) Yolov4-tiny and Spatial Pyramid Pooling for Detecting Head and Tail of Fish. International Conference on Artificial Intelligence and Computer Science Technology (ICAICST). ISSN 978-1-6654-2402-8
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
Program Komputer (2022) SURAT PENCATATAN CIPTAAN Program Komputer : MyFish : Aplikasi Berbasis Deep Learning Untuk Membantu Masyarakat Umum Mendeteksi Jenis Dan Kesegaran Ikan Secara Mudah, Cepat Dengan Komputasi Yang Low-cost. EC00202234317, 6 Juni 2022.
