Titlebook: Intelligent Human Computer Interaction; 11th International C Uma Shanker Tiwary,Santanu Chaudhury Conference proceedings 2020 Springer Natu

fumble

书目名称Intelligent Human Computer Interaction影响因子(影响力)




书目名称Intelligent Human Computer Interaction影响因子(影响力)学科排名




书目名称Intelligent Human Computer Interaction网络公开度




书目名称Intelligent Human Computer Interaction网络公开度学科排名




书目名称Intelligent Human Computer Interaction被引频次




书目名称Intelligent Human Computer Interaction被引频次学科排名




书目名称Intelligent Human Computer Interaction年度引用




书目名称Intelligent Human Computer Interaction年度引用学科排名




书目名称Intelligent Human Computer Interaction读者反馈




书目名称Intelligent Human Computer Interaction读者反馈学科排名

内行

Intelligent Human Computer Interaction978-3-030-44689-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

口诀

https://doi.org/10.1007/978-3-030-44689-5technology-enhanced learning; signal processing systems; EEG-Based Interactions; image and vision-based

阐明

贫穷地活

Monitoring Post-stroke Motor Rehabilitation Using EEG Analysis p < 0.001) of the EEG signal and also between change in mean alpha power ratio (left/right) vs. .FMA (r = −0.71, p < 0.001). The high correlation values of these features suggest that they can be used for monitoring rehabilitation after stroke.

INTER

Highlighted Word Encoding for Abstractive Text Summarizationment frequency (TFIDF) ranking factor. The union of the two strategies proves to surpass the ROUGE score results on the Gigaword dataset as compared to the simple abstractive approach for summarization.

harangue

Omniscient

Surgeon

A Stacked Ensemble Approach to Bengali Sentiment Analysisrs using a second-level Meta classifier in an ensemble. In our ensemble method, we have used two types of base classifiers- multinomial Naïve Bayes classifiers and SVM that make use of a diverse set of features. Our proposed approach shows an improvement over some existing Bengali sentiment analysis approaches reported in the literature.

比目鱼