In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

With the continuous development of Internet of Things (IoT) and the overwhelming explosion
of Big Data, edge computing serves as an efficient computing mode for time stringent data …

Geologic hazards (geohazards) are naturally occurring or human-activity-induced geologic
conditions capable of causing damage or loss of property and/or life. geohazards, such as …

With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …

Industry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity
and intelligent technologies to provide manufacturing solutions. Integrating modern …

Most recent edge and fog computing architectures aim at pushing cloud-native traits at the
edge of the network, reducing latency, power consumption, and network overhead, allowing …

While it is compelling to process large streams of IoT data on the cloud edge, doing so
exposes the data to a sophisticated, vulnerable software stack on the edge and hence …

Background Confidential computing has gained prominence due to the escalating volume of
data‐driven applications (eg, machine learning and big data) and the acute desire for …

The recent edge computing infrastructure introduces a new computing model that works as a
complement of the traditional cloud computing. The edge nodes in the infrastructure reduce …

Availability of efficient development tools for data-rich IoT applications is becoming ever
more important. Such tools should support cross-platform deployment and seamless and …