India is an agricultural country and its economy is largely based upon crop productivity and
rainfall. For analyzing the crop productivity, rainfall prediction is require and necessary to all …

A large amount of the world's population relies mostly on the monsoons. These monsoons
have a great impact on the livelihood of the Indian families where cultivation is a major …

Early detection of possible occurrences of severe convective events would be useful in order
to avoid, or at least mitigate, the environmental and socio-economic damages caused by …

In the present paper is constructed a Generalized net model of a process of sequential
pattern mining by a generalized sequential pattern algorithm. Sequence pattern mining is a …

Abstract Coronary Artery Disease (CAD) is one of the major cause of death as well as
disability worldwide. Suspected cases of CAD go through invasive and non-invasive tests to …

Advances in machine learning applications for image processing, natural language
processing, and direct ingestion of radio frequency signals continue to accelerate. Less …

In the present paper, a Generated net model is constructed to determine the possibility of
forest fire by association rules. To model the process, we use frequent pattern mining by the …

Weather data have two classes' synoptic data and climatic data. Real time data (Synoptic
data) is used in applications like forecast modelling and aviation; climatic data is recorded …

Forecasting of future rainfall from previous years data samples has always challenging and
major area to focus. There are various factors are applied to anticipate the rainfall such as …

We present a scheme to predict micro-scale weather based on region trajectories extracted
from meteorological radar data. Moving regions representing micro-scale severe weather …