Titlebook: Intelligent Computing Theories and Application; 17th International C De-Shuang Huang,Kang-Hyun Jo,Prashan Premaratne Conference proceedings

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书目名称Intelligent Computing Theories and Application影响因子(影响力)




书目名称Intelligent Computing Theories and Application影响因子(影响力)学科排名




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书目名称Intelligent Computing Theories and Application网络公开度学科排名




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书目名称Intelligent Computing Theories and Application被引频次学科排名




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书目名称Intelligent Computing Theories and Application年度引用学科排名




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书目名称Intelligent Computing Theories and Application读者反馈学科排名

amplitude

Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task Classsifier. We extend CSP feature extractor to multiscale temporal and spectral conditions. Experimental results show that compared with many improved CSP features and several deep learning methods of recent years, the multiscale temporal and spectral CSP features achieve superior classification accuracy.

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招待

Conference proceedings 2021ational Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions.. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an i

HPA533

offense

HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Celustering based on correlation-based distance for grouping those imputed data points, and optimal number of clusters can be determined by integrating three classical measures. Experimental results have showed that HOMC is capable of distinguishing cellular differences and the clustering performance is superior to other state-of-the-art methods.

朦胧

mzMD: A New Storage and Retrieval System for Mass Spectrometry Dataalization applications to query for summaries (representative peak sets) of given data windows. We propose criteria to evaluate the quality of summaries of data windows. Experimental statistics on real LC–MS data sets verified the high speed of mzMD in retrieving high-quality summaries of data windows. The source code is freely available at ..

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CANDY

Incorporating Knowledge Base for Deep Classification of Fetal Heart Ratean solve the problem of noise and imbalance in the data. To verify the effectiveness of our proposed framework, we conduct extensive experiments on a real-world dataset. The experimental results show that the performance of our framework is better than other methods.

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