Výsledky vyhledávání - "Kim Hae‐Yong"

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Characterization of Magnetic Labyrinthine Structures Through Junctions and Terminals Detection Using Template Matching and CNN

Autor: Okubo, Vinícius Yu, Shimizu, Kotaro, Shivaram, B. S., Kim, Hae Yong

Publikováno v: IEEE Access, vol. 12, pp. 92419 - 92430, 2024

Defects influence diverse properties of materials, shaping their structural, mechanical, and electronic characteristics. Among a variety of materials exhibiting unique defects, magnets exhibit diverse nano- to micro-scale defects and have been intens

Externí odkaz: http://arxiv.org/abs/2401.16688

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Machine Learning Assisted Characterization of Labyrinthine Pattern Transitions

Autor: Shimizu, Kotaro, Okubo, Vinicius Yu, Knight, Rose, Wang, Ziyuan, Burton, Joseph, Kim, Hae Yong, Chern, Gia-Wei, Shivaram, B. S.

We present a comprehensive approach to characterizing labyrinthine structures that often emerge as a final steady state in pattern forming systems. We employ advanced machine learning based pattern recognition techniques to identify the types and loc

Externí odkaz: http://arxiv.org/abs/2311.10558

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Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

Autor: Petrini, Daniel G. P., Shimizu, Carlos, Roela, Rosimeire A., Valente, Gabriel V., Folgueira, Maria A. A. K., Kim, Hae Yong

Publikováno v: IEEE Access, vol. 10, pp. 77723-77731, 2022

Some recent studies have described deep convolutional neural networks to diagnose breast cancer in mammograms with similar or even superior performance to that of human experts. One of the best techniques does two transfer learnings: the first uses a

Externí odkaz: http://arxiv.org/abs/2110.01606

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