Intelligent machine fault diagnosis technique has recently exploded interest in digital health,
energy power, and industrial maintenance. Collecting machine fault data in engineering …

Cancer, a disease with numerous subtypes, poses a deadly threat to human life, with the
potential for successful clinical treatment heavily reliant on early detection and appropriate …

The quality of medical healthcare diagnosis system in most of the countries is a serious
issue. Motivations and objectives of the research work is that how to measure the quality of …

This study aims to predict whether the case is malignant or benign and concentrate on the
anticipated diagnosis; if the case is malignant, it is advised to admit the patient to the …

New Testament textual criticism is a field of research that seeks to confidently establish the
text of the New Testament by comparing thousands of manuscripts, finding the variants …

Refractive laser surgery is all about the accuracy, whether screening or surgery, given the
age and profile of the patient enduring these trials, there is no margin for error. Most of them …

Objective: This proposed study is based upon the recent disease Adenovirus classification
of several physical activities based upon different Machine Learning algorithms. We have …

Emotions have started controlling not only the way as humans; interact with other living
beings but also the way we interact with computers. Emotions have started controlling our …

In machine learning, it is required that the underlying important input variables are known or
else the value of the predicted outcome variable would never match the value of the target …

The background of this study is that a Medical Expert System made in Visual Prolog is
proposed. This expert system makes a differential diagnosis among heart, lung, kidney, skin …