This research addresses the pressing challenge of enhancing processing times and
detection capabilities in Unmanned Aerial Vehicle (UAV)/drone imagery for global wildfire …

Scene recognition and Object detection have made momentous progress lately. While
mobile robotics and drone analysis has already reached its growth apex, for robots, which …

Accurate and fast recognition of forgeries is an issue of great importance in the fields of
artificial intelligence, image processing and object detection. Recognition of forgeries of …

The exhibition of famous convolutional brain organizations (CNNs) for distinguishing objects
progressively video takes care of is inspected in this exploration. AlexNet, GoogLeNet, and …

Handwritten character recognition is the most critical and challenging area of research in
image processing. A computer's ability to detect handwriting input from various original …

Image classification is a confounding cycle that may be affected by utilizing different various
components. This paper dissects current strategies, issues, and parts of image classification …

Convolutional neural networks (CNN) have proved to be the best choice left for image
classification tasks. However, hand-crafted features cannot be ignored as these are the …

In today's era, need for automatic response of machines on certain task has been prevalent.
Humans want their life easier and automatic in every possible way. However, those tasks …

This research addresses the pressing challenge of enhancing processing times and
detection capabilities in Unmanned Aerial Vehicle (UAV)/drone imagery for global wildfire …

In recent years, deep learning techniques have been of more focus due to its remarkable
results, especially in computer vision. Computer vision involves processing and …