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pro vyhledávání: '"Hu, Jinbo"'
The optimal fingerprint method serves as a potent approach for detecting and attributing climate change. However, its experimental validation encounters challenges due to the intricate nature of climate systems. Here, we experimentally examine the op
Externí odkaz:
http://arxiv.org/abs/2406.11879
Magnetic field inhomogeneity is usually detrimental to magnetic resonance (MR) experiments. It is widely recognized that a nonuniform magnetic field can lead to an increase in the resonance line width, as well as a reduction in sensitivity and spectr
Externí odkaz:
http://arxiv.org/abs/2404.16671
Environment shifts and conflicts present significant challenges for learning-based sound event localization and detection (SELD) methods. SELD systems, when trained in particular acoustic settings, often show restricted generalization capabilities fo
Externí odkaz:
http://arxiv.org/abs/2312.16422
Autor:
Hu, Jinbo, Cao, Yin, Wu, Ming, Yang, Feiran, Yu, Ziying, Wang, Wenwu, Plumbley, Mark D., Yang, Jun
For learning-based sound event localization and detection (SELD) methods, different acoustic environments in the training and test sets may result in large performance differences in the validation and evaluation stages. Different environments, such
Externí odkaz:
http://arxiv.org/abs/2308.08847
Autor:
Gao, Guoping, Hu, Jinbo, Tang, Feng, Liu, Wenhui, Zhang, Xiangdong, Wang, Baoxu, Deng, Dongge, Zhu, Mingzhi, Zhao, Nan
In this paper, we study the stability of nuclear magnetic resonance gyroscope (NMRG), which employs Xe nuclear spins to measure inertial rotation rate. The Xe spin polarization is sensed by an in-situ Rb-magnetometer. The Rb-magnetometer works in a p
Externí odkaz:
http://arxiv.org/abs/2305.15847
Random motion of spins is usually detrimental in magnetic resonance experiments. The spin diffusion in non-uniform magnetic fields causes broadening of the resonance and limits the sensitivity and the spectral resolution in applications like magnetic
Externí odkaz:
http://arxiv.org/abs/2211.09354
Sound event localization and detection (SELD) is a joint task of sound event detection and direction-of-arrival estimation. In DCASE 2022 Task 3, types of data transform from computationally generated spatial recordings to recordings of real-sound sc
Externí odkaz:
http://arxiv.org/abs/2209.01802
Polyphonic sound event localization and detection (SELD) aims at detecting types of sound events with corresponding temporal activities and spatial locations. In this paper, a track-wise ensemble event independent network with a novel data augmentati
Externí odkaz:
http://arxiv.org/abs/2203.10228
Publikováno v:
In International Journal of Mechanical Sciences 15 July 2024 274
Autor:
Hu, Jinbo, Liu, Wen, Zou, Yi, Jiao, Chenyang, Zhu, Jiazhen, Xu, Qiang, Zou, Jianjun, Sun, Yang, Guo, Wenjie
Publikováno v:
In Acta Pharmaceutica Sinica B June 2024 14(6):2598-2612