Call for Papers: Cognitive Computing for Internet of Multimedia Things
In recent years, the widespread deployment of wireless sensor networks, cloud computing, 5G, robotics, embedded computing and inexpensive sensors has facilitated multimedia technologies and fostered some emerging applications. Future multimedia is the direct motivation and drive for the industrial upgrading. Supported by cognitive computing, which is one of the most important fundamental researches and key techniques for implementing intelligent manufacturing, Internet of Multimedia Things (IoMT) is significantly becoming smarter that more intelligent services and applications are emerging. Therefore, the services of an intelligent IoMT integration with cognitive computing could be suggestive, prescriptive, or instructive in nature, and it could be more affective and influential by design choices to make a new class of problems computable.
Although IoMT has emerged with a great potential to change our life especially with ubiquitous sensing and sensory data, cognitive IoMT technologies will make it possible to understand what’s happening in the world more deeply. Therefore, it is necessary to address the technical challenges and problems related to IoMT on designing, building, and deploying novel cognitive computing, services and technologies, to enable intelligent Industrial IoMT services and applications.
Topics of interest include, but are not limited to, the following scope:
- Human Brain Mapping Approaches
- Computational Modelling (CNN, RNN, ANN etc)
- Sensory Perception Methods
- Soft Computing Models
- Cognitive-level Algorithms
- Brain-inspired Systems
- Swarm-based Algorithms
- Cognitive Mixed Reality
- Human-Inspired Robotics
- Brain-Computer/Robot Interface
- Neuroscience and Behavior Analysis
- Electro-Encephalography (EEG) Analysis
- Transcranial Magnetic Stimulation
- Bayesian Program Learning
Submission deadline: August 30, 2020
Notification of acceptance: September 30, 2020
Submission of final revised paper: October 30, 2020
Publication of special issue (tentative): December 2020
- Yujie Li, Fukuoka University, Japan
Authors should follow the MONET Journal manuscript format described at the journal site. Manuscripts should be submitted online through http://www.editorialmanager.com/mone/.
Authors whose selected papers have been accepted and presented at the ROSENET2018 are invited to submit an extended and revised version of their papers to this special issue. The papers must have at least 40% new material compared to the conference paper.