Nowadays, the massive growth of data makes the data classification a challenging task. The
feature selection is a demanding area to take this challenge and produce the higher …

The main objective of the survey is to Study the emerging classifiers like Random Forest
(RF) and Particle Swarm Optimization (PSO) and its application to Satellite Imageries to …

Swarm intelligence algorithms have been widely applied in solving many complex problems
in different domains. In this paper, swarm intelligence-based cuckoo search (CS) and …

Evolutionary computational techniques have been very helpful in solving Bio-medical
related problems. These techniques work on the principle of Artificial Intelligence. In the …

Nature inspired meta heuristics are inspired from the phenomenon which occur in nature.
Wide range bio-inspired algorithms provide good results when applied to various kind of …

Intelligence means capability of an individual to learn from the environment. There are many
artificial techniques, neural networks, genetic algorithms, fuzzy logic which emphasize on …

Images play a crucial role in various applications of engineering and sciences. With
advancements in image capturing devices such as digital cameras, image scanners, most of …

This paper presents a hybrid clustering algorithm and Naïve Bayes classifier for region
clustering of trees, shade, building, grass and road. The image is clustered using the hybrid …

This is a humble effort to study the coastline/shoreline changes along the coast of Chennai
due to anthropogenic activities such as constructions of harbors, ports, groins, jetties etc …

A Satellite image classification is a significant method used in remote sensing for the
automated analysis and pattern recognition of satellite data, which facilitate the automated …