In the field of image processing and computer vision (CV), machine learning (ML)
architectures are widely used. Image compression problems can be solved using …

As a special type of transformer, vision transformers (ViTs) can be used for various computer
vision (CV) applications. Convolutional neural networks (CNNs) have several potential …

Task allocation in edge computing refers to the process of distributing tasks among the
various nodes in an edge computing network. The main challenges in task allocation …

Natural image compression has been greatly improved in the deep learning era. However,
the compression performance will be heavily degraded if the pretrained encoder is directly …

Nowadays, meteorological data plays a crucial role in various fields such as remote sensing,
weather forecasting, climate change, and agriculture. The regional and local studies call for …

In order to effectively estimate the physical fields of active cooling channel with supercritical
pressure hydrocarbon fuel, a novel data-driven reduced-order model framework is firstly …

Handwriting is essential for the development of fine motor skills in children. Handwritten
character recognition has the potential to facilitate natural human–machine interactions …

Resource-constrained hardware such as edge devices or cell phones often rely on cloud
servers to provide the required computational resources for inference in deep vision models …

Recent advances in image data proccesing through deep learning allow for new
optimization and performance-enhancement schemes for radiation detectors and imaging …

Granting smart device consumers with information, simply and quickly, is what drives quick
response (QR) codes and mobile marketing to go hand in hand. It boosts marketing …