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Predicting Blood Drop Height and Volume using Physics ...
ACM Digital Library
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由 P Ukanchanakitti 著作2023 — For VGG-19, the inputs are images of bloodstains, while for XGBoost, the inputs are stain area, stain perimeter, and the number of spines. As a ...
Predicting Blood Drop Height and Volume using Physics ...
ACM Digital Library
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由 P Ukanchanakitti 著作2023 — For VGG-19, the inputs are images of bloodstains, while for XGBoost, the inputs are stain area, stain perimeter, and the number of spines. As a ...
Predicting Blood Drop Height and Volume Using Physics ...
KVIS
https://app.kvis.ac.th › pdf › COMP027
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For VGG-19, the inputs are images of bloodstains while for XGBoost, the inputs are stain area, stain perimeter, and the number of spines. As a result, the ...
Predicting Blood Drop Height and Volume using Physics ...
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2024年9月29日 — Predicting Blood Drop Height and Volume using Physics Equations, VGG-19, and XGBoost ... with predictions of impact velocity and droplet volume ...
Natthawin Cho
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Predicting Blood Drop Height and Volume using Physics Equations, VGG-19, and XGBoost. P Ukanchanakitti, N Winaichatsak, N Cho, K Sumetpipat. Proceedings of ...
Kanes Sumetpipat
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2024年4月25日 — Predicting Blood Drop Height and Volume using Physics Equations, VGG-19, and XGBoost. IAIT 2023: 22:1-22:8; 2022. [c1]. view. electronic edition ...
Natthawin Cho (0000-0002-5462-5423)
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Predicting Blood Drop Height and Volume using Physics Equations, VGG-19, and XGBoost. ACM International Conference Proceeding Series. 2023 | Conference paper.
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KVIS
https://app.kvis.ac.th › advancesearch
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COMP024 - Artificial Intelligence for Predicting Heart Disease ... COMP027 - Predicting Blood Drop Height and Volume Using Physics Equations, VGG-19, and XGBoost.
Kanes Sumetpipat's research works | Department of ...
ResearchGate
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Predicting Blood Drop Height and Volume using Physics Equations, VGG-19, and XGBoost · Conference Paper. December 2023. ·. 12 Reads. Phatsakorn Ukanchanakitti.
Hematoma expansion prediction based on SMOTE and ...
BMC Medical Informatics and Decision Making
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BMC Medical Informatics and Decision Making
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由 Y Li 著作2024被引用 2 次 — We use the Extreme Gradient Boosting (XGBoost) algorithm to predict the HE occurrence within 24 h, as well within 6, 12, 18 and 24 h. We use ...