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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In many Vietnamese schools, grades are still being inputted into the databasemanually, which is not only inefficient but also prone to human error. Thus,the automation of this process is highly necessary, which can only be achievedif we can extract information from academic transcripts. In this paper, we testour improved CRNN model in extracting information from 126 transcripts, with1008 vertical lines, 3859 horizontal lines, and 2139 handwritten test scores.Then, this model is compared to the Baseline model. The results show that ourmodel significantly outperforms the Baseline model with an accuracy of 99.6% inrecognizing vertical lines, 100% in recognizing horizontal lines, and 96.11% inrecognizing handwritten test scores.

An approach to extract information from academic transcripts of HUST