Generative Artificial Intelligence (GAI) has sparked a transformative wave across various
domains, including machine learning, healthcare, business, and entertainment, owing to its …

Abstract Adversarial Machine Learning (AML) is a recently introduced technique, aiming to
deceive Machine Learning (ML) models by providing falsified inputs to render those models …

Driven by the ever-increasing requirements of autonomous vehicles, such as traffic
monitoring and driving assistant, deep learning-based object detection (DL-OD) has been …

The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …

With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …

Automated container terminal (ACT) is considered as port industry development direction,
and accurate kinematic data (speed, volume, etc.) is essential for enhancing ACT operation …

The crowd sensing technology can realize the sensing and computing of people, machines,
and environment in smart industrial IoT-based coal mine, which provides a solution for …

Urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …

Currently, health management driven by intelligent means is a general demand of social
systems. Although a number of researchers have paid attention to such areas, they have …

The development of deep learning enables the production of new images via generative
adversarial networks (GANs). The GANs have now been widely applied in the industry as …