Detecting changes on the earth surface are vital to predict and avoid several catastrophes
being occurring. In many situations, change detection techniques aids in detecting such …

Remote sensing image classification accuracy depends on the extraction of Deep Feature
Extraction. Unsupervised deep feature extraction employs single-layer and deep …

Satellite image classification is an imperative system utilised as a part of remote sensing.
Primary data of extraordinary significance to different difficulties can be acquired …

The classification of Satellite image is an imperative system utilized to retrieve information in
remote sensing. Primary data of extraordinary significance to several difficulties can be …

Classification is a well known of the significant tools used to recognize and examine most
sharp information in images. Satellite image processing has become popular in these days …

Phishing sites represent a serious gamble to web security since they attempt to get private
data from naïve guests. Specialists have fostered various strategies to recognize phishing …

The project focuses on bolstering threat detection efficacy within Internet of Things (IoT)
systems through an intelligent approach. IoT systems, comprising devices, sensors …

Android's open source nature and Google's support have helped it garner the world's
greatest market share. Being the most widely used OS in the world, it has attracted the focus …

Remote sensing images are an important source of information regarding the Earth surface.
For many applications like geology, urban planning, forest and land cover/land use, the …

The speckle noise shows more impact on the performance of the radar image while deciding
the objects. The objective of despeckling is to remove speckles from the SAR image, to …