Alzheimer's Disease (AD) is the most common form of dementia that can lead to a
neurological brain disorder that causes progressive memory loss as a result of damaging …

In this paper, we have worked on comparing various data mining algorithms using R tool
and various comparison models. After comparison has been done, we have applied the best …

Abstract Machine learning and deep learning are revolutionary fields in the computer
science area and are widely used in business applications. Machine learning is an …

Synthetic data is superficial data generated using various machine learning techniques. The
respective synthetic data generated can be used to preserve privacy, test systems, or create …

Facial expressions are a set of symbols of great importance for human-to-human
communication. This communication can be assisted/optimized through use of artificial …

A flood is a most destructive disaster that affects people, places, and lives. Due to the
complication in data availability, flood prediction is always a challenging task. The …

Arrhythmia and heart problems are one of the most important health problems in the whole
world which leads to various other severe complications, for example, heart attack. As …

Machine Learning is a subset of Artificial Intelligence (AI). It provides the systems with the
ability to learn automatically and perform independently without being programmed. When …

This paper describes the most prominent algorithms of Supervised Machine Learning (SML),
their characteristics, and comparatives in the way of treating data. The Heart Disease …

Everyone has paid much attention to modulation-type recognition in the past few years.
There are many ways to find the modulation type, but only a few good ways to deal with …