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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Recent advances in cellular communication systems resulted in a huge increasein spectrum demand. To meet the requirements of the ever-growing need forspectrum, efficient utilization of the existing resources is of utmostimportance. Channel Allocation, has thus become an inevitable research topic inwireless communications. In this paper, we propose an optimal channelallocation scheme, Optimal Hybrid Channel Allocation (OHCA) for an effectiveallocation of channels. We improvise upon the existing Fixed Channel Allocation(FCA) technique by imparting intelligence to the existing system by employingthe multilayer perceptron technique.

Optimal Hybrid Channel Allocation:Based On Machine Learning Algorithms