Impact Score 5.45
The increasing complexity and the distributed nature of modern systems (e.g. power generation plants, manufacturing processes, aircraft and automobiles) have provided traction for important research agendas, such as Cyber Physical Systems (CPSs). Cyber-physical systems (CPS), including mobile CPS and Internet of Things (IoT), embed software into the physical world. They can be used for numerous critical applications in a wide spectrum of fields, such as aerospace, automotive, chemical processes, civil infrastructure, consumer appliances, energy, entertainment, healthcare, manufacturing, transportation, and so forth, have become a core transdisciplinary area of research, both in industry and academia. Cyber-physical systems have proved to present new challenges to modeling due to their intrinsic complexity arising from the tight coupling of computation, communication and control with physical systems.
This special issue is focused on the role of data and data analytics in in CPS Monitoring, Control, Safety, Security and Service Sustainability. It covers applications of machine learning and big data analytics to various CPS problems, and also discusses the security and privacy problems associated with machine learning and big data. This Special Issue solicits high-quality original research and survey papers with consolidated and thoroughly evaluated research on various aspects of Data Driven Discovery in CPS Applications. This Special Issue will serve as a comprehensive collection of the current state-of-the-art technologies within the context. Topics of interest include (but are not limited to):
Deadline for Submission: 30 Dec, 2020
First Reviews Due: 28 Feb, 2021 Revised Manuscript Due: 30 May, 2021
Final Decision: 30 July, 2021