This paper considers the placement of unmanned aerial vehicle base stations (UAV-BSs)
with criterion of minimum UAV-recall-frequency (UAV-RF), indicating the energy efficiency of …

Fault diagnosis in an open world refers to the diagnosis tasks that need to cope with previously
unknown faults in the online stage. It faces a great challenge yet to be addressed—that is…

In smart cities, there are always unpredicted emergencies, which must be handled to maintain
the regular order. Then a smart system is needed to detect threats and deal with them. In …

Heavy data load and wide cover range have always been crucial problems for big data
processing in Internet of Things (IoT). Recently, mobile-edge computing (MEC) and unmanned …

Federated learning (FL) has recently emerged as an important and promising learning scheme
in IoT, enabling devices to jointly learn a model without sharing their raw data sets. As FL …

In this article, a new fault diagnosis problem is formulated, which involves a large number of
normal samples and in which almost all the fault classes are few-shot classes. Although this …

Proper 3D placement of unmanned aerial vehicle mounted base stations (UAV-BSs) can
effectively prolong the life-time of the mobile ad hoc network, since UAVs are usually powered …

The presence and molecular characteristics of carbapenemase-producing Enterobacteriaceae
(CPE) among meat products in China were investigated. A total of 110 carbapenem-…

In federated learning (FL), clients may have diverse objectives, and merging all clients'
knowledge into one global model will cause negative transfer to local performance. Thus, …

Providing stable and fast data transmission service is challenging in a high mobility wireless
communication system, where massive multiple-input multiple-output (MIMO) beamforming …