Deep learning & especially Convolutional Neural Networks (CNNs) are taking a different
shape in the area of Image Recognition & Classification. Number of different CNN …

Detection and recognition of military vehicle from a given image or a video frame with the
help of unmanned aircraft system is the major issue which we are concerned about. Vehicle …

Background: Handwriting recognition becomes an appreciable research area because of its
important practical applications, but varieties of writing patterns make automatic …

This project is about the detection of lung cancer by training a model of deep neural
networks using histopathological lung cancer tissue images. Deferent models have been …

A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons:
accurate interpretations would provide insights into the question of what a deep learning …

The popularity of Convolutional Neural Network (CNN) in the field of Image Processing and
Computer Vision has motivated researchers and industry experts across the globe to solve …

The medical community has more concern on lung cancer analysis. Medical experts'
physical segmentation of lung cancers is time-consuming and needs to be automated. The …

Convolutional neural networks are current times state-of-art algorithms widely used in image
classification. This paper has explored the image classification of social gatherings with …

The advent of internet IoT devices can be used in any kind of industry for its growth. The
applications and benefits of IoT in the education industry are diverse. The teachers and the …

Many problems in computer vision were saturating on their accuracy before a decade.
However, with the rise of deep learning techniques, the accuracy of these problems …