Video-based Estimation System Using Convolutional Neural Networks for Audiences’ State in the Classroom and Discussion of its Essential Image Features is a research paper published in Journal of Japan Society for Fuzzy Theory and Intelligent Informatics (2017). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →FWCI
0.09
Citation Percentile
0.4%
Citation Trend
Fields of Study
Keywords