Due to its unique benefits over standard conventional “subtractive” manufacturing, additive
manufacturing is attracting growing interest in academic and industrial sectors. Here, special …

With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …

近年来, 随着入网设备数量与数据体量的急剧增加, 以云计算为代表的中心式计算模式的缺点越
来越显露出来. 边缘计算, 即让计算尽量靠近数据源, 以减少数据传输时间和网络延迟 …

Text classification plays an important role in many practical applications. In the real world,
there are extremely small datasets. Most existing methods adopt pretrained neural network …

With the rapid increase in the number of network access devices and the volume of network
access data currently, the shortcomings of the centralized computing architecture …

3. Conclusions In conclusion, these articles demonstrate the wide range of applications for
electronics in modern society. From machine learning and deep learning techniques, to …

Researchers are exploring the integration of IoT and the cloud continuum, together with AI to
enhance the cost-effectiveness and efficiency of critical infrastructure (CI) systems. This …

With the development of IoT applications, machine learning dramatically improves the utility
of variable IoT systems such as autonomous driving. Although the pretrain-finetune …

Owing to the rise in data from the Internet of Things (IoT) devices and the increasing demand
for intelligent decision-making on the network's edge, there has been a significant surge in …

Recently, the vision transformer (ViT) model of deep learning has achieved surprising
performance in the field of computer vision and has been widely used in IoT edge devices …