In recent years, Internet of Medical Things (IoMT) and machine learning (ML) have played a major role in the healthcare industry prediction time diagnosis diseases. Heart disease has long been considered one most common lethal causes death. Accordingly, this paper, multiple-step method using IoMT ML proposed for heart based on image numerical resources. first step, transfer convolutional neural...

The liver is one of the most significant organs in human body. We can predict disease a patient at an early stage based on previously predicted values using data from patients with abnormal function. Which helps doctors to make diagnosis. In this paper, function test analyzed for predicting disease, where input patient’s details and output are passed into various classifiers such as Support Vec...

Remote Internet voting places the control and secrecy of the immediate voting environment on the shoulder of the individual voter but it also turns voting into yet another on-line activity thus endangering the well-known social nature of voting and possibly reducing the crucial sense of civic duty that is important for a healthy democracy. There is however a complete lack of evidence to what de...

We compare voluntary and compulsory voting in a Condorcet-type model in which voters have identical preferences but differential information. With voluntary voting, all equilibria involve sincere voting and positive participation. Thus, in contrast to situations with compulsory voting, there is no conflict between strategic and sincere behavior. When voting is costless, voluntary voting is welf...