Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …

The Internet of things (IoT) can significantly enhance the quality of human life, specifically in
healthcare, attracting extensive attentions to IoT-healthcare services. Meanwhile, the human …

The recent wave of foundation models has witnessed tremendous success in computer
vision (CV) and beyond, with the segment anything model (SAM) having sparked a passion …

In the wake of COVID-19, rising monkeypox cases pose a potential pandemic threat. While
less severe than COVID-19, its increasing spread underscores the urgency of early …

Advancements in 6G wireless technology have elevated the importance of beamforming,
especially for attaining ultra-high data rates via millimeter-wave (mmWave) frequency …

Semantic communication shows great potential in reducing data redundancy and improving
data collection efficiency in the Internet of Things (IoT) networks. However, IoT devices have …

In this study, we explore the efficacy of advanced pre-trained architectures, such as Vision
Transformers (ViT), ConvNeXt, and Swin Transformers in enhancing Federated Domain …

In this paper, we formulate the colorization problem into a multinomial classification problem
and then apply a weighted function to classes. We propose a set of formulas to transform …

Federated learning (FL) is a privacy-preserving distributed management framework based
on collaborative model training of distributed devices in edge networks. However, recent …

In the era of 6G, with compelling visions of intelligent transportation systems and digital
twins, remote surveillance is poised to become a ubiquitous practice. Substantial data …