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Effect of particle size distribution on agglomeration/defluidization during fluidized bed combustion
Abstract This study focused on the effect of particle size distribution (PSD) on agglomeration and defluidization in a fluidized bed. The four PSDs studied were narrow, Gaussian, binary and flat. TheExpand
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Analysis of Permanent Magnet Synchronous Motor Fault Diagnosis Based on Learning
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This paper presents an effective diagnosis algorithm for permanent magnet synchronous motors running with an array of faults of varying severity over a wide speed range. Expand
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A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology
Microarrays are widely used to assess gene expressions. Most microarray studies focus primarily on identifying differential gene expressions between conditions (e.g., cancer versus normal cells), forExpand
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An efficient distributed hierarchical-clustering algorithm for large scale data
TLDR
A parallel hierarchical ag-glomerative clustering algorithm is proposed in this study. Expand
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Efficient resource provisioning for virtual clusters on the cloud
TLDR
A virtual cluster could consume a considerable amount of network bandwidth due to its internal communication demands. Expand
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EEG-based motor network biomarkers for identifying target patients with stroke for upper limb rehabilitation and its construct validity
Rehabilitation is the main therapeutic approach for reducing poststroke functional deficits in the affected upper limb; however, significant between-patient variability in rehabilitation efficacyExpand
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Accelerating Computation of DCM for ERP in MATLAB by External Function Calls to the GPU
This study aims to improve the performance of Dynamic Causal Modelling for Event Related Potentials (DCM for ERP) in MATLAB by using external function calls to a graphics processing unit (GPU). DCMExpand
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The changes of improvement-related motor kinetics after virtual reality based rehabilitation
Stroke is a major cause of adult disability and up to two thirds of stroke survivors have left with motor deficits of the affected upper limb (UL). Rehabilitation is the main therapeutic approach forExpand
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Distinguishing the Visual Working Memory Training and Practice Effects by the Effective Connectivity During n-back Tasks: A DCM of ERP Study
Visual working memory (WM) training and practice can result in improved task performance and increased P300 amplitude; however, only training can yield N160 enhancements. N160 amplitudes are relatedExpand
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A guideline to determine the training sample size when applying big data mining methods in clinical decision making
TLDR
We examined the relationship among sample size, data variation and performance of different data mining methods, including SVM, Naïve Bayes, Logistic Regression and J48, by using simulation and two sets of biomedical data. Expand
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