Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

Abstract: Change detection (CD) is an important task in remote sensing image processing. The main research goal is to identify whether the target area has changed. Recently, the rise of deep learning ...

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.

A CNN is a type of deep learning model, a subset of AI designed to mimic how the human brain processes information. CNNs specialise in analysing images and identifying patterns. They are particularly ...

In the previous column, we introduced the basic building blocks of an artificial neural network (ANN): neurons computing linear combinations of inputs, followed by a nonlinear activation function 1.

This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required. Deep learning networks in TensorFlow are represented as ...

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...

Abstract: In industrial processes, data-driven soft sensors have played an important role for the effective process control, optimization, and monitoring. Deep learning technique has been widely used ...

Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this study, we report a comprehensive chemical and ...