Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method.
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Overlapping Community Detection based on Network Decomposition.Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.Synthesis of vibroarthrographic signals in knee osteoarthritis diagnosis trainingRecombination spot identification Based on gapped k-mers.BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.Improving tRNAscan-SE Annotation Results via Ensemble Classifiers.SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties.Evaluating physical function and activity in the elderly patient using wearable motion sensors.
P2860
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P2860
Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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name
Representation of fluctuation ...... ernel density modeling method.
@en
Representation of fluctuation ...... ernel density modeling method.
@nl
type
label
Representation of fluctuation ...... ernel density modeling method.
@en
Representation of fluctuation ...... ernel density modeling method.
@nl
prefLabel
Representation of fluctuation ...... ernel density modeling method.
@en
Representation of fluctuation ...... ernel density modeling method.
@nl
P2093
P1476
Representation of fluctuation ...... ernel density modeling method.
@en
P2093
Fang Zheng
Kaizhi Liu
Meihong Wu
Shanshan Yang
Suxian Cai
Yunfeng Wu
P304
P356
10.1016/J.MEDENGPHY.2014.07.008
P50
P577
2014-08-03T00:00:00Z