The Internet of Vehicles (IoV) is a developing technology attracting attention from the
industry and the academia. Hundreds of millions of vehicles are projected to be connected …

A novel nonlinear decomposition method of flow field is proposed based on the dynamic
mode decomposition (DMD) and nonlinear mode decomposition autoencoder. The flow …

Lightweight CNN models aim to extend the application of deep learning from conventional
image classification to mobile edge device-based image classification. However, the …

Due to the rise of e‐commerce platforms, online shopping has become a trend. However,
the current mainstream retrieval methods are still limited to using text or exemplar images as …

Digital twins are becoming more relevant for business and academic users due to advances
in IoT, AI, and Big Data. Due to global urbanization, pollution, public safety, traffic …

Obtaining the solutions of high-dimensional partial differential equations (PDEs) seems to
be difficult by utilizing the classical numerical methods. Recently, deep neural networks …

Image classification is very important in the system of internet of things (IoT), and long-tailed
distribution data are common in our daily life. Extremely imbalanced classes in long-tailed …

Convolutional neural networks are one of the most important techniques used in
classification processes, specifically digital image classification. In this paper, work has been …

The Internet of Things and applications of Internet of thing (IoT) are becoming popular
among various users nowadays, because it makes their life more easy. Because of its …

Exploring the improvement of classroom teaching effect under the background of sports
education integration in China has important practical significance and theoretical value …