Results 11 to 20 of about 484,876 (266)
Deep convolution stack for waveform in underwater acoustic target recognition
Scientific Reports, 2021 In underwater acoustic target recognition, deep learning methods have been proved to be effective on recognizing original signal waveform. Previous methods often utilize large convolutional kernels to extract features at the beginning of neural networks.
Shengzhao Tian +3 more
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Feature augmentation based on information fusion rectification for few-shot image classification
Scientific Reports, 2023 In the issue of few-shot image classification, due to lack of sufficient data, directly training the model will lead to overfitting. In order to alleviate this problem, more and more methods focus on non-parametric data augmentation, which uses the ...
Hang Wang +5 more
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Data validation for healthcare cost analysis in STROKE OWL
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020 The STROKE OWL project applies a new approach of cross-sector care management for strokes and determines the costs of this new approach. An evaluator determines the current costs of stroke care for the health insurance companies involved in the project ...
Wolters, Timo +3 more
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Outstanding slow-light effect for graphene metasurface in terahertz
Results in Physics, 2021 So as to realize good slow-light effects in a simple graphene-based nano-structure, a n-shaped graphene metasurface is proposed in this paper. Through the detailed studies, plasmon induced transparency (PIT) can be observed in the proposed metasurface ...
Yixuan Wang +7 more
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IEEE Access, 2021 As the mobile networks become even denser and the traffic demand is increasing drastically, it is becoming more heterogeneous. Recently, it is intensive to investigate the Cell-Free Massive multiple-input multiple-output Massive (MIMO) system, where a ...
Jue An, Feng Zhao
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Image Super-Resolution Reconstruction Method Based on Embeddable Network Structure [PDF]
Jisuanji gongcheng, 2021 The existing Super-Resolution(SR) image reconstruction models based on Convolutional Neural Networks(CNN) have multiple deficiencies,such as instable model training process and low convergence speed.To address the problem,this paper proposes an ...
QIANG Baohua, PANG Yuanchao, YANG Minghao, ZENG Kun, ZHENG Hong, XIE Wu, MO Ye
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Electron diffraction data processing withDIALS [PDF]
Acta Crystallographica Section D Structural Biology, 2018 Electron diffraction is a relatively novel alternative to X-ray crystallography for the structure determination of macromolecules from three-dimensional nanometre-sized crystals. The continuous-rotation method of data collection has been adapted for the electron microscope.
Max T. B. Clabbers +4 more
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Journal of Agriculture and Food ResearchDue to its fast and non-destructive characteristics, dielectric spectroscopy has been widely applied in the detection of agricultural and food products. However, traditional dielectric measurement systems, which rely on large and expensive vector network
Peiqi Gao +7 more
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Multi-Slot Spectrum Auction in Heterogeneous Networks Based on Deep Feedforward Network
IEEE Access, 2018 A spectrum auction is a promising approach with respect to efficiently allocating spectrum among unlicensed users. In this paper, we study the spectrum auction based on the waveform and air-interface of wireless users, the interests of the channel for ...
Feng Zhao, Yuyi Zhang, Qiang Wang
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Joint Pilot Allocation and Pilot Sequence Optimization in Massive MIMO Systems
IEEE Access, 2020 Pilot contamination (PC) is recognized as a bottleneck for the achievable throughput of multi-cell massive multiple-input multiple-output (MIMO) systems. In this paper, we propose a joint pilot allocation and pilot sequences optimization (JPA-PSO) scheme
Xinhua Nie, Feng Zhao
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