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IECON 2019 : Special Session on Artificial Intelligence approaches for maintenance and control in the Industry 4.0 framework
IECON 2019 : Special Session on Artificial Intelligence approaches for maintenance and control in the Industry 4.0 framework

IECON 2019 : Special Session on Artificial Intelligence approaches for maintenance and control in the Industry 4.0 framework

Lisbon, Portugal
Event Date: October 14, 2019 - October 17, 2019
Submission Deadline: May 10, 2019
Notification of Acceptance: July 10, 2019
Camera Ready Version Due: July 31, 2019




Call for Papers

The contributions of this special session are focused on Artificial Intelligence
(AI) approaches applied to the industry 4.0 framework, specifically recent
advances and developments in machine learning, deep learning, neural
networks, Fuzzy logics, data analytics, smart technologies. The interest are
the innovative research and novel challenges in bringing different AI
approaches to the industrial manufacturing and control, inspections,
predictive maintenance and health management, data-driven prognostics,
fault detection, decision making, industrial vision. Security, management,
signal processing, smart sensors, and all data-driven developments which
enhance the production efficiency are also welcome.
Topics of interest include, but are not limited to:
● Artificial Intelligence, machine learning and deep learning for
industrial automation and control
● Neural Network and Fuzzy logic for industrial systems
● Data-driven prognostics and health management approaches
● Predictive maintenance for industry 4.0
● Data-driven process monitoring and control
● AI concepts for fault detection and risk management
● Data-driven approaches for the product lifecycle optimization
● Data-driven optimization methods and applications
● Smart vision-based target detection, smart sensors
● Innovative solutions in industrial applications and complex technical systems



Credits and Sources

[1] IECON 2019 : Special Session on Artificial Intelligence approaches for maintenance and control in the Industry 4.0 framework


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