Developed a Convolutional Neural Network (CNN) model to detect image tampering with high accuracy. This project aims to address the increasing prevalence of image manipulation, leveraging advanced ...

A weed detection model using Convolutional Neural Networks (CNN) is a deep learning model that can be trained to identify and classify images of weeds. CNNs are particularly effective for image rec ...

This study evaluates the effectiveness of using the EfficientNetB4 model architecture for deepfake image detection and identifies the main challenges in developing an accurate model for deepfake image ...

The object detection of unmanned aerial vehicle (UAV) images has widespread applications in numerous fields; however, the complex background, diverse scales, and uneven distribution of objects in UAV ...

Now it’s time to design the CNN model for emotion detection with different layers. We start with the initialization of the model followed by batch normalization layer and then different convents ...

CNN didn't report this, a spokesperson said. The image is an altered version of a CNN article published in 2019 about hate symbols.