Results 21 to 30 of about 1,722,563 (207)
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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Next generation assisting clinical applications by using semantic-aware electronic health records [PDF]
, 2009 The health care sector is no longer imaginable without electronic health records. However; since the original idea of electronic health records was focused on data storage and not on data processing, a lot of current implementations do not take full ...
De Potter, Pieterjan +3 more
core +2 more sources
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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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
doaj +1 more source
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
openaire +3 more sources
Implementation aspects and offline digital signal processing of a smart pebble for river bed sediment transport monitoring [PDF]
, 2006 Conceptualization aspects of a smart sediment particle (smart pebble) for monitoring of sediment transport in riverbeds have been documented previously [1].
Kularatna, Nihal +2 more
core +2 more sources
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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