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

In this paper, we propose an intelligence approach based on fuzzy logic tomodeling human intelligence in washing clothes. At first, an intelligentfeedback loop is designed for perception-based sensing of dirt inspired byhuman color understanding. Then, when color stains leak out of some coloredclothes the human probabilistic decision making is computationally modeled todetect this stain leakage and thus the problem of recognizing dirt from staincan be considered in the washing process. Finally, we discuss the fuzzy controlof washing clothes and design and simulate a smart controller based on thefuzzy intelligence feedback loop.

A knowledge-based intelligent system for control of dirt recognition process in the smart washing machines