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A Review of Pseudo-Labeling for Computer Vision

Autor: Kage, Patrick, Rothenberger, Jay C., Andreadis, Pavlos, Diochnos, Dimitrios I.

Deep neural models have achieved state of the art performance on a wide range of problems in computer science, especially in computer vision. However, deep neural networks often require large datasets of labeled samples to generalize effectively, and

Externí odkaz: http://arxiv.org/abs/2408.07221

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Report

Glass-patternable notch-shaped microwave architecture for on-chip spin detection in biological samples

Autor: Oshimi, Keisuke, Nishimura, Yushi, Matsubara, Tsutomu, Tanaka, Masuaki, Shikoh, Eiji, Zhao, Li, Zou, Yajuan, Komatsu, Naoki, Ikado, Yuta, Takezawa, Yuka, Kage-Nakadai, Eriko, Izutsu, Yumi, Yoshizato, Katsutoshi, Morita, Saho, Tokunaga, Masato, Yukawa, Hiroshi, Baba, Yoshinobu, Teki, Yoshio, Fujiwara, Masazumi

Publikováno v: Lab on a Chip, 2022, advanced publication

We report a notch-shaped coplanar microwave waveguide antenna on a glass plate designed for on-chip detection of optically detected magnetic resonance (ODMR) of fluorescent nanodiamonds (NDs). A lithographically patterned thin wire at the center of t

Externí odkaz: http://arxiv.org/abs/2205.02970

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