Výsledky vyhledávání - "Rahayudi, Bayu"

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Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO

Autor: Nugraha, Akbar Satya, Novanto, Yudistira, Rahayudi, Bayu

Deep neural network shows excellent use in a lot of real-world tasks. One of the deep learning tasks is object detection. Well-annotated datasets will affect deep neural network accuracy. More data learned by deep neural networks will make the model

Externí odkaz: http://arxiv.org/abs/2302.13891

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Akademický článek

Maize disease classification using transfer learning and convolutional neural network with weighted loss

Autor: Ahadian, Krisnanda, Yudistira, Novanto, Rahayudi, Bayu, Basori, Ahmad Hoirul, Malebary, Sharaf J., Alesawi, Sami, Mansur, Andi Besse Firdausiah, Alorfi, Almuhannad S., Barukab, Omar M.

Publikováno v: In Heliyon 15 November 2024 10(21)

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Akademický článek

THE DEVELOPMENT OF COGNITIVE WORKLOAD MANAGEMENT FRAMEWORK BASED ON NEURONAL DYNAMICS PRINCIPLE TO MAINTAIN TRAIN DRIVER'S HEALTH AND RAILWAY SAFETY.

Autor: Sugiono, Sugiono, Nugroho, Willy Satrio, Rahayudi, Bayu, Lintangsari, Alies Poetri, Lustyana, Astuteryanti Tri

Publikováno v: EUREKA: Physics & Engineering; 2023, Issue 3, p144-156, 13p

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Akademický článek

The Expression of Myoz1 and ApoB is Positively Correlated with Meat Quality of Broiler Chicken.

Autor: Fatchiyah, Fatchiyah, Rohmah, Rista Nikmatu, Triprisila, Lidwina Faraline, Virgirinia, Regina Putri, Rahayudi, Bayu, Kurnianingsih, Nia, Safitri, Anna, Abdul Razis, Ahmad Faizall

Publikováno v: Veterinary Medicine International; 12/31/2022, Vol. 2022, p1-6, 6p

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Akademický článek

ANALYSIS AND SIMULATION OF ACCURACY OF CREDIT STATUS CLASSIFICATION WITH BOOTSTRAP AGGREGATING (BAGGING) AND SYNTHETIC MINORITY OVER-SAMPLING (SMOTE).

Autor: Efendi, Achmad, Amrullah, Ahmad A. N., Fitriani, Rahma, Rahayudi, Bayu

Publikováno v: International Journal of Agricultural & Statistical Sciences; 2021 Suppl, Vol. 17, p925-938, 14p, 7 Diagrams, 13 Charts

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Twente Debate Corpus - A Multimodal Corpus for Head Movement Analysis

Autor: Rahayudi, Bayu, Poppe, Ronald Walter, Heylen, Dirk K.J.

Publikováno v: Proceedings of the International Conference on Language Resources and Evaluation (LREC 2014), 26-31
STARTPAGE=26;ENDPAGE=31;TITLE=Proceedings of the International Conference on Language Resources and Evaluation (LREC 2014)

This paper introduces a multimodal discussion corpus for the study into head movement and turn-taking patterns in debates. Given that participants either acted alone or in a pair, cooperation and competition and their nonverbal correlates can be anal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::d4cd87d20d7d94703e79de662faa3a7b
https://research.utwente.nl/en/publications/fc4ba728-051e-4166-b51f-913b907ec386

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