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

Semantic communications are expected to be an innovative solution to theemerging intelligent applications in the era of connected intelligence. In thispaper, a novel scalable multitask semantic communication system with featureimportance ranking (SMSC-FIR) is explored. Firstly, the multi-task correlationsare investigated by a joint semantic encoder to extract relevant features.Then, a new scalable coding method is proposed based on feature importanceranking, which dynamically adjusts the coding rate and guarantees thatimportant features for semantic tasks are transmitted with higher priority.Simulation results show that SMSC-FIR achieves performance gain w.r.t.individual intelligent tasks, especially in the low SNR regime.

Scalable Multi-task Semantic Communication System with Feature Importance Ranking