Int. Workshop on Computational Intelligence Techniques for Industrial and Medical Applications

Computational Intelligence techniques are adopted in many industrial applications, like visual based quality control, image enhancement in consumer electronics, image quality enhancement, video based recognition of identity or behaviors, audio based speech recognition for enhanced human like interaction with machines etc. It also has a strong impact in medical applications, like medical image enhancement, semi-automatic detection of pathologies, pre-filtering and reconstruction of volumes from medical scans etc. Despite this growing diffusion, there are still many possible areas where computational intelligence application is partial or could be extended and improved, due to the actual limitations in terms of computational power or strict requirements in terms of assurance of the results.
This workshop aims to investigate the impact of the adoption of advanced and innovative Computational Intelligence techniques in industrial and medical applications including the ones that takes advantage of recent Big Data Architectures. This edition of the workshop is focused primarily on signal processing for industrial and medical applications with special emphasis to stream processing and Big Data platforms. The workshop will bring together researchers on different disciplines from academia and industry with a common objective: go beyond the frontiers of today industrial applications of Computational Intelligence techniques.

Topics for the workshop include, but are not limited to:
– Imaging for Industrial applications
– Computational Intelligence approaches in Biomedical Signal Processing
– Computational Intelligence approaches in Consumer Electronics
– Real-time Multimedia Signal Processing
– Intelligent User Interfaces
– Virtual-augmented reality for Healthcare
– Demosaicking and denoising in digital image acquisition pipeline
– Spatial and temporal estimation and protection of media streams
– Learning systems for signal and information processing and evidential reasoning for recognition
– Soft computing approaches for embedded multimedia systems
– Real time signal processing & vision
– Big Data architectures for Computational Intelligence
– Big Data processing for industrial and medical applications