Activity: Publication peer-review and editorial work types › Editorial work
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Theme: Extracting information from a massive amount of humans’ natural behaviour and cognition patterns has
allowed supporting the computational intelligence (CI), such as fuzzy systems, neural networks, and evolutionary
computation, in many industrial fields, ranging from education to medicine. Human interacting with CI is
gaining popularity in emerging industry, as the human feedback into the learning loop of the industrial computer
can help to improve the performance faster. Recent advances in CI (including fuzzy systems, neural networks,
and evolutionary computation) in computer industry, are giving momentum to human-in-the-loop approaches to
enable complex industrial paradigms that operate in connection with human beings. This special issue aims to
gather outstanding papers about integrating human informatics and their interacting applications using CI in
various industrial fields. This will provide a snapshot of the latest advances in the contribution of industrial
applications powered by computational intelligence and human-computer interactions.
Topics include, but are not limited to, the following research topics and technologies:
1- CI modelling and reasoning for the recognition of human cognitive processes.
2- CI decoding of brain activity patterns and human-computer/machine interactions.
3- CI redefining the way of computer vision in human-computer/machine interactions.
4- CI leading a revolution in the space of natural language processing.
5- CI navigating human-computer interactions in AR/VR environments.
6- CI approaches supporting human data analytics and neuro-informatics.
7- CI acquiring of human uncertainties and vulnerabilities.
8- Industrial applications of CI techniques in human-related datasets.