English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Aiming at effective outlier elimination in the biological near-infrared spectral andachieving high accuracy predictive modeling, this paper proposes a novel outlier eliminationmethod based on X-Y variance and leverage analysis. Firstly, the characters of near-infraredspectral are summarized; then residual sample X-variance, leverage, and residual sampleY-variance are concatenated as a divergence measurement. We further compared theproposed method with X-Y variance, Mahalanobis distance, and Hotelling T2 statistical analysis; the experiment results demonstrate that the proposed methods have competitive outlier elimination and better performance in time complexity and accuracy. The proposed methodcan also be adopted for other outlier elimination tasks

mathematical problems in engineering

Bioagriculture Outlier Elimination Based on 3D View of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>X</mml:mi></mml:mrow></mml:math>-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mrow><mml:mi>Y</mml:mi></mml:mrow></mml:math>Variance and Leverage Measurement

Bioagriculture Outlier Elimination Based on 3D View ofX-YVariance and Leverage Measurement