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 ...

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 ...

Facial beauty prediction (FBP) is a leading area of research in artificial intelligence. Currently, there is a small amount of labeled data and a large amount of unlabeled data in the FBP database.

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: Aiming at the problem of the poor cell image segmentation accuracy of traditional segmentation method, this paper introduces a supervised machine learning approach- convolutional neural ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called 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 ...

Convolutional Neural Networks have been a dominant model architecture for computer vision since the breakthrough of AlexNet. Since the success of self-attention models like Transformers in natural ...

In underwater acoustic target recognition, target radiated noise collected by hydrophones is used to identify targets. Due to the complexity of the ocean soundscape, collected radiated noise is always ...