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

This paper studies the effect of various hyper-parameters and their selectionfor the best performance of the deep learning model proposed in [1] fordistributed attack detection in the Internet of Things (IoT). The findings showthat there are three hyper-parameters that have more influence on the bestperformance achieved by the model. As a consequence, this study shows that themodel's accuracy as reported in the paper is not achievable, based on the bestselections of parameters, which is also supported by another recent publication[2].

Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment