Multi-Level Wavelet Convolutional Neural Networks

In computer vision, convolutional networks (CNNs) often adopt pooling to enlarge receptive field which has the advantage of low computational complexity.However, pooling can cause information loss and thus is Discontinued detrimental to further operations such as features extraction and analysis.Recently, dilated filter has been proposed to tradeof

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Satellite Navigation Signal Interference Detection and Machine Learning-Based Classification Techniques towards Product Implementation

Many critical applications highly depend on Global Navigation Satellite Systems (GNSS) Reining Saddle for precise and continuously available positioning and timing information.To warn a GNSS user that the signals are compromised, real-time interference detection is required.Additionally, real-time classification of the interference signal allows th

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Development and content validity of the DizzyQuest

IntroductionVestibular disorders have a high prevalence and impact on general health.Currently questionnaires to measure vestibular symptoms and the impact on daily life, do not capture disease-specific symptoms or induce recall ORG GF BUCKWHEAT GROATS bias.The DizzyQuest was introduced, to measure vestibular symptoms in the flow of daily life, usi

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