Brain tumor detection in the initial stage is becoming an intricate task for clinicians
worldwide. The diagnosis of brain tumor patients is rigorous in the later stages, which is a …

In the present world, there is a great necessity to have reliable and quality power
distribution, and so there is great scope for research on automation of distribution system …

Artificial intelligence (AI) is an effective technology for automatic brain tumor MRI image
recognition. The training of an AI model requires a large number of labeled data, but medical …

The influence and impact of digital images on modern society, science, technology and art
are incredible and image processing is now a critical part of science and technology. A brain …

Objectives: This paper aims to evaluate the performance of the machine learning classifiers
and identify the most suitable classifier for classifying sentiment value. The term “sentiment …

Day to day there is a huge growth of Medical data bases and which in turn posing challenge
to the research community in effective analysis for the identification of a particular decease …

Human brain tumor is a major health issue that may cause severe disabilities to a patient,
ranging from loss of sensory feelings and paralysis to death. The accurate diagnosis of brain …

Computed tomography (CT) is commonly used for the characterization and tracking of
abdominal muscle mass in surgical patients for both pre-surgical outcome predictions and …

Abstract Background: Magnetic Resonance Imaging (MRI) is the most prominently used
image acquisition method for brain tumor diagnosis, treatment and research. Objective: In …

Heart disease is the most prevalent kind of disease even among the young people, which
has logged the maximum number of lives so far. Earlier it was a disease which claimed …