Výsledky vyhledávání - "Prarinya SIRITANAWAN"

Akademický článek

Autor: Palakorn Kamnounsing, Karin Sumongkayothin, Prarinya Siritanawan, Kazunori Kotani

Publikováno v: IEEE Access, Vol 12, Pp 126729-126737 (2024)

Recent studies have shown that machine-learning models are vulnerable to adversarial attacks. Adversarial attacks are deliberate attempts to modify the input data of a machine learning model in a way that causes it to produce incorrect predictions. O

Externí odkaz: https://doaj.org/article/f71f28bc91c74525a11cd6a6be74cd3f

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Akademický článek

Multi-View Gait Analysis by Temporal Geometric Features of Human Body Parts

Autor: Thanyamon Pattanapisont, Kazunori Kotani, Prarinya Siritanawan, Toshiaki Kondo, Jessada Karnjana

Publikováno v: Journal of Imaging, Vol 10, Iss 4, p 88 (2024)

A gait is a walking pattern that can help identify a person. Recently, gait analysis employed a vision-based pose estimation for further feature extraction. This research aims to identify a person by analyzing their walking pattern. Moreover, the aut

Externí odkaz: https://doaj.org/article/871745f58c2f4723999a41e74c6083b6

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Akademický článek

Prediction of post-embolization recurrence in internal carotid-posterior communicating aneurysms with Vel-PointNet

Autor: Jing LIAO, Jiro SAKAMOTO, Kouichi MISAKI, Prarinya SIRITANAWAN, Kazunori KOTANI

Publikováno v: Journal of Biomechanical Science and Engineering, Vol 18, Iss 2, Pp 22-00471-22-00471 (2023)

Prediction models for post-embolization recurrence with hemodynamic parameters from computational fluid dynamics (CFD) were widely studied to manage cerebral aneurysms. However, only spatiotemporally averaged or maximal scalars were used to develop t

Externí odkaz: https://doaj.org/article/22cd4d780cef4e999b2f489eff189161

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Akademický článek

Surreptitious Adversarial Examples through Functioning QR Code

Autor: Aran Chindaudom, Prarinya Siritanawan, Karin Sumongkayothin, Kazunori Kotani

Publikováno v: Journal of Imaging, Vol 8, Iss 5, p 122 (2022)

The continuous advances in the technology of Convolutional Neural Network (CNN) and Deep Learning have been applied to facilitate various tasks of human life. However, security risks of the users’ information and privacy have been increasing rapidl

Externí odkaz: https://doaj.org/article/791812afe62847408ea23a14ef8b76f0

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