Special Issue on Computational Intelligence Techniques for Industrial and Medical Applications
Gwanggil Jeon, Valerio Bellandi · Concurrency and Computation Practice and Experience · 2020
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, and so on.It also has a strong impact in medical applications, like medical image enhancement, semiautomatic detection of pathologies, prefiltering and reconstruction of volumes from medical scans, and so on.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. THEMES OF THIS SPECIAL ISSUEStarting from the above considerations, this special issue 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 special issue is focused primarily on signal processing for industrial and medical applications with special emphasis to stream processing and Big Data platforms.This issue is intended to provide a highly recognized international forum to present recent advances in Concurrency and Computation: Practice and Experience.We welcomed both theoretical contributions as well as articles describing interesting applications.Articles were invited for this special issue considering aspects of this problem, including:• Imaging for industrial applications.