Abstract: Deep learning-based methods, especially deep convolutional neural networks (CNNs), have shown their effectiveness for hyperspectral image (HSI) classification. In previous deep CNN-based HSI ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Analytical technology was applied in the field of cultural heritage science in the 1980s 4,5,6. Since then, rapid technological development has inspired numerous studies that have primarily explored ...

Recognition of forged images is a critical task in fields such as forensics and cybersecurity. Conventional techniques often struggle to accurately identify tampered images due to complex artifacts ...

In the weeks since Israel announced plans to take over Gaza City, the Israeli military has destroyed or damaged more than 1,800 buildings in and around the city, CNN analysis has found. Satellite ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting your knowledge! Whether it’s personal development, professional growth, or practical tips, Jay’s got you covered.

ABSTRACT: In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing studies, this paper proposes a Vision ...

Welcome, fellow AI enthusiasts, to another exciting edition of the GnoelixiAI Hub newsletter! In this edition, we'll be exploring the field of image classification using artificial intelligence (AI).

Abstract: In the field of disease diagnosis where only a small dataset of medical images may be accessible, the light-weight convolutional neural network (CNN) has become popular because it can help ...