Trisyono, Y. Andi
151  Ergebnisse:
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4

Comparing Six Computer Vision Techniques for Rice Pest Reco..:

, In: 2023 7th IEEE Congress on Information Science and Technology (CiSt),
 
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6

A Comparison of HOG-SVM and SIFT-SVM Techniques for Identif..:

, In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS),
 
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8

Using a Two-Stage HOG-SVM / CNN Model to Identify and Class..:

, In: 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI),
 
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11

Classifying, Detecting, and Predicting Infestation Patterns..:

, In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA),
Harris, Christopher ; Trisyono, Y. Andi - p. 246-251 , 2019
 
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13

Fitness of Asian corn borer, Ostrinia furnacalis (Lepidopte..:

Rahayu, Teguh ; Trisyono, Y.Andi ; Witjaksono
Journal of Asia-Pacific Entomology.  21 (2018)  3 - p. 823-828 , 2018
 
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15

Current status and distribution ofRaoiella indicaHirst (Aca..:

Nusantara, Aulia ; Trisyono, Y. Andi ; Suputa.
International Journal of Acarology.  43 (2016)  2 - p. 137-141 , 2016
 
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