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

In this study, UAVs were used to collect data of distribution line resources, and defects in distribution line equipment and construction process were identified through deep learning. Different algorithms are used to identify the defects of distribution line equipment and construction process. The research will ultimately support regional synchronization and online development for intelligent automatic acceptance of the distribution wire UAV.

Distribution Line Equipment and Defect Identification Based on Deep Learning