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Published in 2020 at "Statistics in Medicine"
DOI: 10.1002/sim.8464
Abstract: Two methods for designing adaptive multiarm multistage (MAMS) clinical trials, originating from conceptually different group sequential frameworks are presented, and their operating characteristics are compared. In both methods pairwise comparisons are made, stage‐by‐stage, between each…
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Keywords:
multiarm multistage;
treatment;
clinical trials;
stage ... See more keywords
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Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.03.061
Abstract: Abstract This paper presents a novel Cluster-contraction Stage-wise Orthogonal-Matching-Pursuit (CcStOMP) approach for bearing fault information extraction. This approach adds the cluster contraction mechanism to the Stage-wise Orthogonal-Matching-Pursuit (StOMP) algorithm and filter the selected atoms twice…
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Keywords:
orthogonal matching;
wise orthogonal;
fault;
cluster contraction ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922549
Abstract: In this paper, we propose a novel deep learning the based deraining method. The proposed method is motivated by the idea that an effective deraining algorithm should have the ability to remove various remaining rain…
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Keywords:
method;
coarse fine;
stage;
proposed method ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184730
Abstract: A recurrent neural network (RNN) has shown powerful performance in tackling various natural language processing (NLP) tasks, resulting in numerous powerful models containing both RNN neurons and feedforward neurons. On the other hand, the deep…
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Keywords:
neural networks;
recurrent neural;
based pruning;
stage wise ... See more keywords