Special Issue on Multimedia-based Emerging Technologies and Data Analytics for Neuroscience as a Service (NaaS)

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Guest editors

Dr Mohammad Shabaz, PhD, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India - mohammad.shabaz@amu.edu.et

Dr Ashutosh Sharma, PhD, Institute of Computer Technology and Information Security Southern Federal University, Russia - ashutosh@sfedu.ru

Dr Shams Al Airawi, PhD, Department of Computer Science, University of California, USA - salajrawi@sdsu.edu

Dr Vania Vieira Estrela, PhD, Msc, Federal Fluminense University, Niterói, Brazil - vania.estrela.phd@ieee.org

Keywords: Artificial Intelligence, Neuroscience (miscellaneous), Health Informatics, Signal Processing, Radiology Nuclear Medicine and Imaging, Radiological and Ultrasound Technology, Clinical Neurology, Neurology, Surgery, Critical Care and Intensive Care Medicine.

Special issue information

Neuroscience as a Service (NaaS) may enable neuroscience-related healthcare and scientific research to be conducted in natural environments and settings versus equipment rooms in laboratories and medical Centers. NaaS is somewhat analogous to the concept of Software as a service (SaaS)—decentralized cloud-based computing where a third-party provider host applications. Stakeholders through the internet, enabling customers to focus on their domain expertise versus attempting to run complex data centers, technology stacks and other network infrastructures. By leveraging the interdisciplinary domains of state-of-the-art AI, machine learning, neuroscience, engineering, healthcare, and physics, NaaS can create innovative platforms that may accelerate neuroscience deployment. Recent advancements in multimedia on the emerging technologies contributes the state-of-the-art methodologies, systems, and innovative use of multimedia-based emerging technology services for health care. Topics included but not restricted to:

Emerging multimedia processing in neuroscience as a service for health care
Emerging applications for managing neuroscience as a service for medical media data
The Innovative use of artificial intelligence techniques, algorithms and methods to monitor
and track casualties and contacts against the outbreak of epidemic diseases and beyond
Case study along with design or development of innovative multimedia smart healthcare materials, tools, and devices
Mobile multimedia emerging technologies for health care
Emerging technologies based health monitoring
M-QoE/M-QoS/M-QoC variations in health- emerging technologies applications
Emerging technologies -based remote display Protocol for health care
Media-cloud based resource allocation approaches
Emerging technologies-based model for speech-enabling healthcare
ML/DL-based patient condition screening, visualization, and monitoring
AI-empowered multimedia healthcare data analytics in infectious diseases and beyond
Emerging media cloud protocols, surveys, applications and new research approaches
Emerging technologies-based model for automatic detection of mental disease at home
Usage of neuroscience as a service in improving customer services
Use of neuroscience as a service for business improvement
Manuscript submission information

Papers must be submitted online to Neuroscience Informatics at

www.editorialmanager.com/neuri/default.aspx

Deadline: 15 March 2022. Final Decision: 15 June 2022.

For questions about submissions, please email Dr Mohammad Shabaz, PhD - mohammad.shabaz@amu.edu.et