Call for Papers – IJPHM Special Issue Deep Learning and Emerging Analytics

[Download CFP]
Abstract/NOI Deadline March 31, 2019 April 8, 2019
Submission Deadline June 15, 2019
This special issue focuses on theory and application of deep learning and advanced analytics to anomaly detection, condition monitoring, diagnostics, and prognostics. DETAILS HERE

(Please submit a brief Abstract or send an email to editors indicating your interest in submitting paper by the submission deadline)

The International Journal of Prognostics and Health Management (IJPHM) is the premier online open access journal related to multidisciplinary research on Prognostics, Diagnostics, and System Health Management. This special issue is focused on research advances in Big Data and Advanced Analytics pushing the envelop of machine intelligence in the digital industrial world.

Different paper types are accepted:
Full-Length Regular Papers: Regular papers should describe new and carefully confirmed findings. Experimental procedures and results should be given in detail sufficient for others to replicate the work.
Technical Briefs: Technical briefs describe a single result, experiment, or technique of general interest in short manuscripts enough to describe experimental procedures and clearly, and interpret the results in the context of other research.
Industry Case Studies: Case studies are descriptive accounts of PHM applications in a real industrial environments. Techniques and apparatus used, results obtained, and lessons learned can be included to share experience with the community.
Survey Papers: Survey papers are of a tutorial or review nature covering emerging research topics in PHM or describe the best current practice, detailed characteristics and performance. These papers cover areas of general interest.