Dear all, We are glad to announce the Call for Papers for the Special Session on Innovative Computational Intelligence Knowledge-based Solutions for Zero Defect Scenarios on Industrial Cyber-Physical Systems. The Special Session has been included in the 1st IEEE International Conference on Industrial Cyber-Physical Systems (IEEE ICPS 2018) programme, May 15-18, 2018, Saint Petersburg, Russia. All accepted paper will appear in IEEE Xplore Digital Library and the good quality paper may be considered for publication in IEEE Transactions on Industrial Informatics subjects to further rounds of review. Topics of interest include: - Predictive and prescriptive artificial intelligence architectures for ICPS - Real-time machine condition monitoring & diagnostic for global environments - Advance knowledge representation methodologies and ontologies - Pattern recognition and identification based on big data analytics in ICPS - Crowdsourcing and crowd cloud computing methodologies - Self-adaptive & self-reconfiguration system development methods - Virtual modelling and simulators for zero defect ICPS scenarios - Connected ICPS network sensors for smart manufacturing environments - Innovative deep learning topologies for ICPS applications Important Dates Paper submission deadline: December 22, 2017 Paper acceptance: February 28, 2018 Final paper submission: March 31, 2018 Please, find as an attached PDF file the First Announcement and Call for Papers. Information on the IEEE ICPS 2018 will be regularly updated in the Conference website: http://icps2018.net/ I should be very grateful if you could publicize this event among your colleagues. For more information, please do not hesitate to contact me. Best regards, Gerardo Beruvides -- Gerardo Beruvides López, PhD Centro de Automática y Robótica, CSIC - UPM Ctra. de Campo Real Km. 0.200 La Poveda, Arganda del Rey C.P. 28500 Madrid - Spain gerardo.beruvides@car.upm-csic.es - http://www.gamhe.eu personal email: beruvides85@gmail.com Phone: (+34) 91 871 19 00 Ext. 244 Fax: (+34) 91 871 70 50