Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

This study offers interesting insights into humans' detection capabilities of synthetic face images and their aptitude for learning to distinguish real face images from synthetic ones. Figure 1.

This project demonstrates object detection using a pre-trained TensorFlow model (SSD MobileNet V2) and OpenCV. It includes a Python script for running detections on images and a simple web interface ...

The developer loads the provided notebook, which is run on a PowerAI system. A provided example dataset demonstrates a use case of recognizing images of houses with pools vs. houses without pools. The ...

The proposed model has four main steps, namely, preprocessing, segmentation, feature extraction, and classification. Initially, the input SAR image is pre-processed using a histogram equalization ...

With the growth of the Internet of Things, we see an increase in the importance of analysis of data from the edge, often with the results needed in real-time. Indy Car series is one of the well-known ...

Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include R-CNN and ...