Based on emerging Artificial Intelligence (AI) tasks, cloud-edge-terminal architecture can
provide powerful computing, intelligent interconnection, and real-time response, which can …

Network optimization is a fundamental challenge in the Internet of Things (IoT) network,
often characterized by complex features that make it difficult to solve these problems …

Unmanned Aerial Vehicles (UAVs) offer high mobility and flexible deployment capabilities,
making them ideal for Internet of Things (IoT) applications. However, the substantial amount …

Semantic communication (SC), regarded as a next-generation communication architecture
that breaks through the Shannon paradigm, is considered a key technology for realizing …

With advancements in physical power systems and network technologies, integrated Cyber-
Physical Power Systems (CPPS) have significantly enhanced system monitoring and control …

Optimization is crucial for MEC networks to function efficiently and reliably, most of which are
NP-hard and lack efficient approximation algorithms. This leads to a paucity of optimal …

The demand for edge device models equipped with multilingual visual capabilities is rapidly
increasing in complex IoT application scenarios. While many studies have endowed models …

As more users seek generative AI models to enhance work efficiency, generative AI and
Model-as-a-Service will drive transformative changes and upgrades across all industries …

The widespread application of AIGC services has driven demand for efficient computational
resources, making effective task scheduling and computation offloading in edge computing …

The implementation of the Internet of Things (IoT) technology has the potential to unleash
the capabilities of generative artificial intelligence (GAI). However, integrating GAI with IoT …