As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

Ensemble learning has gained success in machine learning with major advantages over
other learning methods. Bagging is a prominent ensemble learning method that creates …

Inflatable structures have become essential components in the design of soft robots and
deployable systems as they enable dramatic shape change from a single pressure inlet …

Abstract Machine learning (ML) methods have shown powerful performance in different
application. Nonetheless, designing ML models remains a challenge and requires further …

Repair crews (RCs) and mobile power sources (MPSs) are critical resources for distribution
system (DS) outage management after a natural disaster. However, their logistics have not …

To tackle the contradiction between the computation intensive applications and the resource-
hungry mobile user equipments (UEs), mobile edge computing (MEC) has been provisioned …

Active composites consisting of materials that respond differently to environmental stimuli
can transform their shapes. Integrating active composites and 4D printing allows the printed …

Traceability has become an essential business function to consistently supply quality and
safe food products to consumers. However, it has been not rare that the efforts in traceability …

In order to help user terminal devices (UTDs) efficiently handle computation-intensive and
time-delay sensitive computing task, multi-access edge computing (MEC) has been …

Hybrid energy storage systems (HESSs) can considerably improve the dependability,
efficiency, and sustainability of energy storage systems (ESSs). This study examines the …