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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We present a multi-purpose genetic algorithm, designed and implemented withGPGPU / CUDA parallel computing technology. The model was derived from amulti-core CPU serial implementation, named GAME, already scientificallysuccessfully tested and validated on astrophysical massive data classificationproblems, through a web application resource (DAMEWARE), specialized in datamining based on Machine Learning paradigms. Since genetic algorithms areinherently parallel, the GPGPU computing paradigm has provided an exploit ofthe internal training features of the model, permitting a strong optimizationin terms of processing performances and scalability.

Genetic Algorithm Modeling with GPU Parallel Computing Technology