… Finally, this paper looked into many challenges facing … RF sensing in the Internet of
Things: a general deep learning … for synchronizing metaverse with IoT services and data[50]. …

… such as cloud computing and Internet of Things (IoT). In this … loads and properties is a
potential challenge for future AON. … allocation, and offer secure application services. There are …

… discuss current challenges and propose potential solutions … are fed into a traditional
machine learning (ML) model for … Agricultural internet of things (Ag-IoT) networks could collect …

… significantly better than other state of the art solutions. Moreover, the study discusses the
open … Also, We present challenges in alleviating these impairments and recommend the future …

… of autonomous vehicular intelligence: The intelligent vehicles future challenge program. …
with sequence modeling and reinforcement learning for energy-efficient IOT applications. IEEE …

… The classification and characteristics of 6G network data and data services … IoT 数据指IoT
传感器感知的数据.AI 数 据包含分布式网络AI 训练和推理… Deep learning for security problems in …

… airports, a 5G-based smart airport network security solution … security, and IoT-aware node
security. And then a 5G network … network data, and encounter problems such as tampering and …

… the key research problems of the access architecture in the current air-to… Reinforcement
learning for security-aware computation offloading in satellite networks[J]. IEEE Internet of Things …

… also have considered many security issues in IPv4 networks,… network classification
model of deep learning methods. After … Her current research interests include 5G network,IoT,and …

… machine type communications in ultra-dense cellular IoT networks: current issues and machine
learning-assisted solutions[J]. … Future intelligent and secure vehicular network toward 6G: …