The fault diagnosis approaches based on k -nearest neighbor rule have been widely researched for industrial processes and achieve excellent performance.However, for quality-related fault diagnosis, the approaches using k -nearest neighbor rule have been still not sufficiently studied.To tackle this problem, in this article, we propose a novel quali
This study investigated the application of artificial intelligence algorithms (AIA) in the coagulation treatment of paint wastewater anchored by novel Phaseolus vulgaris seed extract (PVSE).Untreated wastewater discharge harms the ecosystem, and therefore harmful industrial effluent, such as paint wastewater, must be brought to safe discharge level
Infections are most common and most severe at the extremes of age, the young and the elderly.Vaccination can be a key approach to enhance immunogenicity non-metal-chastity and protection against pathogens in these vulnerable populations, who have a functionally distinct immune system compared to other age groups.More than 50% of the vaccine market
Feature Analysis has become a very critical task in data analysis and visualization.Graph structures are very flexible in terms of representation and may encode important information on features but are challenging in regards to layout being adequate for analysis tasks.In this study, we propose and develop similarity-based graph layouts with the pu