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

The immune system is a highly parallel and distributed intelligent systemwhich has learning, memory, and associative capabilities. Artificial ImmuneSystem is an evolutionary paradigm inspired by the biological aspects of theimmune system of mammals. The immune system can inspire to form new algorithmslearning from its course of action. The human immune system has motivatedscientists and engineers for finding powerful information processing algorithmsthat has solved complex engineering problems. This work is the result of anattempt to explore a different perspective of the immune system namely theImmune Privileged Site (IPS) which has the ability to make an exception todifferent parts of the body by not triggering immune response to some of theforeign agent in these parts of the body. While the complete system is securedby an Immune System at certain times it may be required that the system allowscertain activities which may be harmful to other system which is useful to itand learns over a period of time through the immune privilege model as done incase of Immune Privilege Sites in Natural Immune System.

Artificial Immune Privileged Sites as an Enhancement to Immuno-Computing Paradigm