Titlebook: Internet of Medical Things for Smart Healthcare; Covid-19 Pandemic Chinmay Chakraborty,Amit Banerjee,Joel J. P. C. Ro Book 2020 The Editor(

山羊

橫截,橫斷

COVID-19 Analysis by Using Machine and Deep Learning,h is a thematic map which divides the world geographical area into different colors on the base of the data variable. This chapter used machine learning algorithms such as support vector machine, navies Bayes theorem, linear regression, decision tree repressors, random forest, and prophet algorithm

Flat-Feet

MML Classification Techniques for the Pathogen Based on Pnuemonia-nCOVID-19 and the Detection of Cl, the number of cases was one, and on March 28, 2020, the outrage began to rise to 909. In addition, COVID is also caused by pneumonia-related illnesses. So far, such epidemics have been studied and diagnosed by reverse transcriptase polymerase chain reaction (RT-PCR) and serology laboratory testing

Apogee

Factors Affecting the Success of Internet of Things for Enhancing Quality and Efficiency Implementa of hospitals to focus on important viewpoints that impact the utilization of Internet of things (IoT) in healthcare services. The fundamental of this research is to determine the variables that impact the achievement of Internet of things (IoT) in the execution of human services from the viewpoint

RAGE

IoMT-Based Smart Diagnostic/Therapeutic Kit for Pandemic Patients,e patients’ past clinical history. Numerous researches were undergone all over the world to smart kit the patients’ past clinical records were stored in IoT cloud database. The security and privacy medical record of the patients is protected. This cloud access database provides the past medical hist

ectropion

微粒

Exploration of Cough Recognition Technologies Grounded on Sensors and Artificial Intelligence,ectural analysis of cough detection; divergent types of the sensors, auxiliary equipment and neural network sustenance instruments deployed are entailed. Cough detection is enacted by voluminous machine and deep learning algorithms using classifiers such as random forest, decision tree, logistic reg

Dna262

infinite

A Review on Use of Data Science for Visualization and Prediction of the COVID-19 Pandemic and Earlyfrom causing any more devastation and controlling its spread. In this paper, we review the role of technologies like artificial intelligence and deep learning in early detection, diagnosis, analysis (cure), and socio-economic impact of COVID-19. The purpose of this review paper is to provide a conci

索賠

Fuzzy Cellular Automata Model for Discrete Dynamical System Representing Spread of MERS and COVID-1d/or parameters are imprecisely defined are modelled by . or .. We have found fuzzy triangular number solutions of fuzzy one dimensional first order finite difference equation and corresponding fuzzy cellular automata model. This technique have been used to find a fuzzy cellular automata model for t