ESTIMATION OF HEAVY METALS IN AGRICULTURAL SOILS USING VIS-NIR SPECTROSCOPY WITH FRACTIONAL-ORDER DERIVATIVE AND GENERALIZED REGRESSION NEURAL NETWORK

With the development of industrialization and urbanization, heavy metal contamination in agricultural soils tends to accumulate rapidly and harm human health.Visible and near-infrared (Vis-NIR) spectroscopy provides the feasibility of fast monitoring of the variation of heavy metals.This study explored the potential of fractional-order derivative (

The aim of this study is to find the cost design of RC tension with varying conditions using the Artificial Neural Network.Design constraints were used to cover all reliable design parameters, such as limiting cross sectional dimensions Tumblers and; their reinforcement ratio and even the beahviour of optimally designed sections.The design of the R

As higher education is changing to reach larger numbers of students via online modalities, the issue of student attrition and other measures of student success become increasingly important.While research has focused largely on undergraduate online students, less has been done in the area of online non-traditional doctoral student success, particul

Nature has been a wellspring of therapeutic operators for a huge number of years and an exceptional number of present day drugs have been secluded from common sources.Higher plants, as wellsprings of restorative mixes, have kept on assuming a prevailing part in the support of human wellbeing since old circumstances.More than half Gift Items of all

Biofilm formation is crucial for bacterial community development and host colonization by Streptococcus salivarius, a pioneer colonizer and commensal bacterium of the human gastrointestinal tract.This ability to form biofilms depends on bacterial adhesion to host surfaces, and on the intercellular aggregation contributing to biofilm cohesiveness.Ma