Utilizing supervised machine learning algorithms to develop a surveillance and response system based on symptoms of diarrhoea, contingent on the Support Vector Machine (SVM) to predict the probable disease using labelled data.Diarrhoea is amongst the top ten diseases which kill.A prototype system is developed based on the click here SVM algorithm.T

The study estimate, the vehicular emission load for CO, CO2 , HCs, NOX, SO2, Dioxin/Furans, Particulate Matters (PM10, PM2.5, Black carbon and Organic Carbon) by using emission factors and Global Warming Potentials (GWPs) of the pollutants (CO2, NOX, BC and OC).For miracle academy clothing this purpose, data were collected through the video tape re

Polarimetric synthetic aperture radar (PolSAR) image classification is a recent technology with great practical value in the field of read more remote sensing.However, due to the time-consuming and labor-intensive data collection, there are few labeled datasets available.Furthermore, most available state-of-the-art classification methods heavily su

Objectives.To determine the prevalence of obsessive-compulsive symptoms among medical students in Peru during the COVID-19 pandemic and its associated factors.Materials and methods.Cross-sectional study in 270 medical students from a Peruvian public university.Participants were recruited through non-probability sampling.Obsessive-compulsive symptom

The main objective of this paper is read more to evaluate the relative impact of financial sector development, government size and trade openness of a country on its economic growth.This is done to investigate which factors play more prominent role in leading the growth of the economy.Four ASEAN countries known for their similar economic orientatio