In the previous episodes of this AI on Edge journey, we have done something exciting. We built real applications directly on our smartphones. We created image classification apps. We implemented ...

Researchers have developed DBAL-YOLO, a novel deep learning-based framework that automatically converts non-digital engineering drawings into 3D Building Information Models (BIM). Achieving 98.8% ...

Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

For this tutorial, we will load an image in color and convert it to the RGB format so it can be displayed correctly using matplotlib. import cv2 import numpy as np import matplotlib.pyplot as plt from ...

Abstract: Gunshot detection has been applied in fields such as defense and forensic sciences. This plays a very critical role in law enforcement and public safety. Detecting a gunshot begins with ...

Biometric identification is already widespread in everyday life, such as mobile payment, countries’ banking systems, entrance guard systems, etc. Finger veins traits are a unique biometric trait via ...

This method uses a 1-D causal convolution strategy with a residual learning framework to perform dilated causal convolutions. The simulation studies of the proposed TCN-based identification-scheme are ...

Abstract: Deep learning has witnessed a significant evolution recently with growth in high-performance devices and research in the neural network. The central aspect of this paper is to discuss the ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...