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pro vyhledávání: '"A Ogura"'
This paper proposes a method for unsupervised anomalous sound detection (UASD) and captioning the reason for detection. While there is a method that captions the difference between given normal and anomalous sound pairs, it is assumed to be trained a
Externí odkaz:
http://arxiv.org/abs/2410.22056
Autor:
Pirozhkov, A. S., Sagisaka, A., Ogura, K., Vishnyakov, E. A., Shatokhin, A. N., Armstrong, C. D., Esirkepov, T. Zh., Izquierdo, B. Gonzalez, Pikuz, T. A., Hadjisolomou, P., Alkhimova, M. A., Arran, C., Tsygvintsev, I. P., Valenta, P., Pikuz, S. A., Yan, W., Jeong, T. M., Singh, S., Finke, O., Grittani, G., Nevrkla, M., Lazzarini, C., Velyhan, A., Hayakawa, T., Fukuda, Y., Koga, J. K., Ishino, M., Kondo, Ko., Miyasaka, Y., Kon, A., Nishikino, M., Nosach, Y. V., Khikhlukha, D., Kolesnikov, A. O., Ragozin, E. N., Gasilov, V. A., Kumar, D., Nejdl, J., Sasorov, P. V., Weber, S., Margarone, D., Kato, Y., Korn, G., Kiriyama, H., Kondo, K., Ridgers, C., Kawachi, T., Kando, M., Bulanov, S. V.
Gamma rays consist of high-energy photons that selectively interact with nuclei, induce and mediate nuclear reactions and elementary particle interactions, and exceed x-rays in penetrating power and thus are indispensable for analysis and modificatio
Externí odkaz:
http://arxiv.org/abs/2410.06537
Publikováno v:
Phys. Rev. B 110, 054516 (2024)
One promising way to enhance superconductivity is to have coexisting wide and incipient narrow bands, where the Fermi level intersecting the wide band lies just above the narrow band, by which finite-energy spin fluctuations act as glue to mediate pa
Externí odkaz:
http://arxiv.org/abs/2408.10465
In this paper, we propose a novel adaptive Control Barrier Function (CBF) based controller for nonlinear systems with complex, time-varying input constraints. Conventional CBF approaches often struggle with feasibility issues and stringent assumption
Externí odkaz:
http://arxiv.org/abs/2408.09534
A minor improvement is made to the calculation of the inhomogeneity term. The new calculation gives better agreement with the observations of Daoud et al. and Cheng-Graessley-Melnichenko.
Comment: 6 pages, 7 figures
Comment: 6 pages, 7 figures
Externí odkaz:
http://arxiv.org/abs/2407.10610
Autor:
Ma, Zongpeng, Solís-Fernández, Pablo, Hirata, Kaito, Lin, Yung-Chang, Shinokita, Keisuke, Maruyama, Mina, Honda, Kota, Kato, Tatsuki, Uchida, Aika, Ogura, Hiroto, Otsuka, Tomohiro, Hara, Masahiro, Matsuda, Kazunari, Suenaga, Kazu, Okada, Susumu, Kato, Toshiaki, Takahashi, Yasufumi, Ago, Hiroki
Transition metal dichalcogenides (TMDs) exhibit unique properties and potential applications when reduced to one-dimensional (1D) nanoribbons (NRs), owing to quantum confinement and high edge densities. However, effective growth methods for self-alig
Externí odkaz:
http://arxiv.org/abs/2407.09725
Publikováno v:
Experiments in Fluids Volume 65, article number 102 (2024)
Pressure-sensitive paint (PSP) was applied to the surface of a NACA0012 airfoil to investigate pressure fluctuations associated with trailing edge (TE) noise under low-velocity flow conditions. The primary focus is to assess the feasibility of employ
Externí odkaz:
http://arxiv.org/abs/2407.04233
Physics-informed Neural Networks (PINNs) is a method for numerical simulation that incorporates a loss function corresponding to the governing equations into a neural network. While PINNs have been explored for their utility in inverse analysis, thei
Externí odkaz:
http://arxiv.org/abs/2406.11119
This study proposes introducing convex optimization to find initial perturbations of atmospheric models for realizing specified changes in subsequent forecasts. In the proposed method, we formulate and solve an inverse problem to find effective pertu
Externí odkaz:
http://arxiv.org/abs/2405.19546
Autor:
Basak, Setu Kumar, English, K. Virgil, Ogura, Ken, Kambara, Vitesh, Reaves, Bradley, Williams, Laurie
GitGuardian monitored secrets exposure in public GitHub repositories and reported developers leaked over 12 million secrets (database and other credentials) in 2023, indicating a 113% surge from 2021. Despite the availability of secret detection tool
Externí odkaz:
http://arxiv.org/abs/2403.19072