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X
Trisyono, Y. Andi
5  Ergebnisse:
Buchkapitel (Online) X
Personensuche X
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1

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

, In: 2023 7th IEEE Congress on Information Science and Technology (CiSt),
Harris, Christopher G. ; Andika, Ignatius P. ; Trisyono, Y. Andi - p. 160-165 , 2023
Link: https://doi.org/10.1109/..
 
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2

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),
Harris, Christopher G. ; Andika, Ignatius P. ; Trisyono, Y. Andi - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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3

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

, In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS),
Harris, Christopher G. ; Andika, Ignatius P. ; Trisyono, Y. Andi - p. 107-112 , 2022
Link: https://doi.org/10.1109/..
 
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4

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
Link: https://doi.org/10.1109/..
 
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5

Rice Ecosystem Services in South-East Asia: The LEGATO Proj..:

, In: Atlas of Ecosystem Services,
Settele, Josef ; Spangenberg, Joachim H. ; Heong, Kong Luen... - p. 373-382 , 2019
Link: https://doi.org/10.1007/..
 
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