Mostrando 1 - 20 Resultados de 218 Para Buscar 'Bank Band', tiempo de consulta: 0.34s Limitar resultados
  1. 1
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    A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank
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    “…The aim of this research is to provide an end to end working solution that will enable autonomous transaction and task processing for banking. Method We illustrate the use case for task delegation with the aid of risk graphs, risk bands and finite state machines. …”
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    Orchestration of autonomous trusted third-party banking
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    por Bai, C., Wang, D., Li, C., Jin, D., Li, C., Guan, W., Ma, Y.
    Publicado 2011
    “…According to karyotyping and G-banding, the diploid rate in the cell bank was 97.62±2.12%. …”
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    Establishment and biological characteristics of a Jingning chicken embryonic fibroblast bank
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    Novel OBP genes similar to hamster Aphrodisin in the bank vole, Myodes glareolus
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    “…However, as most algorithms used a broad frequency band, the discrimination from multiple sub-bands were not fully utilized. …”
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    Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface
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    “…Mutual information is then computed from the extracted features of each of these bands and the top filter banks are selected for further processing. …”
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    An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information
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    “…The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the subject-specific frequency band. This paper presents the Filter Bank Common Spatial Pattern (FBCSP) algorithm to optimize the subject-specific frequency band for CSP on Datasets 2a and 2b of the Brain-Computer Interface (BCI) Competition IV. …”
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    Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
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    “…Here we propose a novel method based on scalp electroencephalography (EEG) signals and a robust spectral-spatial EEG feature extractor called kernel eigen-filter-bank common spatial pattern (KEFB-CSP). The KEFB-CSP first filters the multi-channel raw EEG signals into a set of frequency sub-bands covering the range from theta to gamma bands, then spatially transforms the EEG signals of each sub-band from the original sensor space to a new space where the new signals (i.e., CSPs) are optimal for the classification between MDD and healthy controls, and finally applies the kernel principal component analysis (kernel PCA) to transform the vector containing the CSPs from all frequency sub-bands to a lower-dimensional feature vector called KEFB-CSP. …”
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    Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns
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    “…A banded linsang (Prionodon linsang) presented at our hospital with clinical signs of acute diarrhea. …”
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    Feline panleukopenia virus as the cause of diarrhea in a banded linsang (Prionodon linsang) in Thailand
  10. 10
    por Ueda, Kazuo, Nakajima, Yoshitaka
    Publicado 2017
    “…The peripheral auditory system functions like a frequency analyser, often modelled as a bank of non-overlapping band-pass filters called critical bands; 20 bands are necessary for simulating frequency resolution of the ear within an ordinary frequency range of speech (up to 7,000 Hz). …”
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    Online Artículo Texto
    An acoustic key to eight languages/dialects: Factor analyses of critical-band-filtered speech
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    “…Band 3 (anion exchanger 1; AE1) is the most abundant membrane protein in red blood cells, which in turn are the most abundant cells in the human body. …”
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    The interactome of the N-terminus of band 3 regulates red blood cell metabolism and storage quality
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    “…Six accessions were sampled both before and after a standard regeneration. 30 plants of each of 50 accessions plus 6 regeneration populations included in the study were characterised with AFLPs, using scores for 103 polymorphic bands. It was shown that the genetic changes as a result of standard gene bank regenerations, as measured by AFLPs, are of a comparable magnitude as the differences between some of the more similar accessions. …”
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    The distribution of genetic diversity in a Brassica oleracea gene bank collection related to the effects on diversity of regeneration, as measured with AFLPs
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    “…The segmented epochs are then decomposed into six wavelet sub-bands (WSBs) using OWFB. We extract the signal fractional dimension (SFD) and log-energy (LOGE) features from all six WSBs. …”
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    Hypertension Diagnosis Index for Discrimination of High-Risk Hypertension ECG Signals Using Optimal Orthogonal Wavelet Filter Bank
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    “…This study proposed filter bank decomposition to decompose the ECG signal into 15 subband signals, and a one-dimensional (1D) convolutional neural network (CNN) model independently cooperating with each subband to extract and classify the features of the given subband signal. …”
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    Contribution of Different Subbands of ECG in Sleep Apnea Detection Evaluated Using Filter Bank Decomposition and a Convolutional Neural Network
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    Nano-crumples induced Sn-Bi bimetallic interface pattern with moderate electron bank for highly efficient CO(2) electroreduction
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    “…This result was corresponding to the result obtained from in silico analysis of GenBank sequences. Use of LITS-MG primer was expectedly resulted in a single band including ITS1, 5.8s and partial ITS2 product for L. tropica which is appropriate for following molecular studies such as sequencing or restriction analysis. …”
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    Investigation of Double-Band Electrophoretic Pattern of ITS-rDNA Region in Iranian Isolates of Leishmania tropica
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    “…The norm features are computed from six sub-bands coefficients of optimal wavelet filter bank and fed to various supervised machine learning classifiers. …”
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    Online Artículo Texto
    Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals
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    “…Dried blood spot (DBS) is a robust potential alternative sample source for epidemiological studies & bio banking. A stable source of genomic DNA (gDNA) is required for long term storage in bio bank for its downstream applications. …”
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    Optimization of extraction of genomic DNA from archived dried blood spot (DBS): potential application in epidemiological research & bio banking
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    Accuracy Assessment of the Planar Morphology of Valley Bank Gullies Extracted with High Resolution Remote Sensing Imagery on the Loess Plateau, China
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    “…In order to solve the problem, a discriminative and multi-scale filter bank tangent space mapping (DMFBTSM) algorithm is proposed in this article to design the subject-specific Filter Bank (FB) so as to effectively recognize multiclass MI tasks. …”
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    A New Subject-Specific Discriminative and Multi-Scale Filter Bank Tangent Space Mapping Method for Recognition of Multiclass Motor Imagery
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