The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing ...

To design an applicable chaos-based image encryption algorithm for IoT devices, the complexity of the employed chaotic systems is also an important issue that cannot be ignored. The simple structures ...

This repository contains a Python implementation of the Expectation-Maximization (EM) algorithm applied to Gaussian Mixture Models (GMM) for image segmentation and clustering. The code demonstrates ...

In this section, I give a general overview of what a genetic algorithm is. Readers that are familiar with this concept can skip to the next section. A genetic algorithm is an optimization tool ...

Back in 2001, two computer scientists, Paul Viola and Michael Jones, triggered a revolution in the field of computer face detection. After years of stagnation, their breakthrough was an algorithm that ...

Abstract: With the rapid development of computer vision technology, image classification algorithm based on deep learning has become a hot research and application field. At present, the mainstream ...

The algorithm is rolling out a few weeks after Google LLC introduced a new image generator of its own. Nano Banana Pro, as ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...