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Intelligent computing and applications (LSMS and ICSEE 2010)
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RETRACTED ARTICLE: A hierarchical learning architecture with multiple-goal representations and multiple timescale based on approximate dynamic programming
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Erratum to: Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers
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Special issue on ICONIP 2012
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Open AccessImpulsive control for synchronizing delayed discrete complex networks with switching topology
In this paper, global exponential synchronization of a class of discrete delayed complex networks with switching topology has been investigated by using Lyapunov-Ruzimiki method. The impulsive scheme is design...
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Erratum to: Incorporating mutation scheme into krill herd algorithm for global numerical optimization
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Open AccessAn improved SOM algorithm and its application to color feature extraction
Reducing the redundancy of dominant color features in an image and meanwhile preserving the diversity and quality of extracted colors is of importance in many applications such as image analysis and compressio...
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Erratum to: Real-time transient stability status prediction using cost-sensitive extreme learning machine
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Open AccessStructural reliability calculation method based on the dual neural network and direct integration method
Structural reliability analysis under uncertainty is paid wide attention by engineers and scholars due to reflecting the structural characteristics and the bearing actual situation. The direct integration meth...
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Open AccessA P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks
In recent years, Botnets have been adopted as a popular method to carry and spread many malicious codes on the Internet. These malicious codes pave the way to execute many fraudulent activities including spam...
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Open AccessRETRACTED ARTICLE: Using hardware counter-based performance model to diagnose scaling issues of HPC applications
Performance diagnosing for HPC applications can be extremely difficult due to their complicated performance behaviors. One hand, developers used to identify the potential performance bottlenecks by conducting ...
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Open AccessBioacoustic detection with wavelet-conditioned convolutional neural networks
Many real-world time series analysis problems are characterized by low signal-to-noise ratios and compounded by scarce data. Solutions to these types of problems often rely on handcrafted features extracted in...
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Cognitive computing for intelligent application and service
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RETRACTED ARTICLE: Analysis of complex cognitive task and pattern recognition using distributed patterns of EEG signals with cognitive functions
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Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers
At the end of 2019, a new coronavirus (COVID-19) epidemic has triggered global public health concern. Here, a model integrating the daily intercity migration network, which constructed from real-world migratio...
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Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson’s disease
Speech diagnosis of Parkinson’s disease (PD) as a non-invasive and simple diagnosis method is particularly worth exploring. However, the number of samples of speech-based PD is relatively small, and there exis...
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Automatic lumbar spinal MRI image segmentation with a multi-scale attention network
Lumbar spinal stenosis (LSS) is a lumbar disease with a high incidence in recent years. Accurate segmentation of the vertebral body, lamina and dural sac is a key step in the diagnosis of LSS. This study prese...
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Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network
Vehicle drivers driving cars under the situation of drowsiness can cause serious traffic accidents. In this paper, a vehicle driver drowsiness detection method using wearable electroencephalographic (EEG) base...
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Open AccessEmotionally charged text classification with deep learning and sentiment semantic
Text classification is one of the widely used phenomena in different natural language processing tasks. State-of-the-art text classifiers use the vector space model for extracting features. Recent progress in ...
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MEDAS: an open-source platform as a service to help break the walls between medicine and informatics
In the past decade, deep learning (DL) has achieved unprecedented success in numerous fields, such as computer vision and healthcare. Particularly, DL is experiencing an increasing development in advanced medi...