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TEACHING-SECURITY  January 2020

TEACHING-SECURITY January 2020

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Subject:

Special Issue "Cognitive Computing with Big Data System over Secure Internet of Things"

From:

Xiaochun Cheng <[log in to unmask]>

Reply-To:

Discussion on the teaching of computer security <[log in to unmask]>

Date:

Sat, 11 Jan 2020 08:39:15 -0000

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text/plain

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[Apologies if you receive multiple copies of this message] 


=================================================================
                   CALL FOR PAPERS
=================================================================


Special Issue "Cognitive Computing with Big Data System over Secure Internet
of Things ",   
https://www.mdpi.com/journal/applsci/special_issues/cognitive_computing
By 30 January 2020.

Applied Sciences (ISSN 2076-3417), 
https://www.mdpi.com/journal/applsci/indexing
2018 Impact Factor: 2.217. Indexed in SCIE.  JCR Q2. H-index 23. 


Special Issue Information
Cognitive computing has broad horizons, which cover different
characteristics of cognitive activities. The field is highly
transdisciplinary in nature, combining principles, methods, and/or
technologies from multiple subjects’ areas, such as: Psychology, computer
science, artificial intelligence, computer network communication,
linguistics, philosophy, neuroscience, etc.
The Internet of Things (IoT) has become a key component for intelligent
systems, such as medical systems, intelligent vehicular networks,
intelligent building, or smart cities. Low-cost sensing and actuation are
available in IoT applications. They enable seamless information exchange and
networked interactions of physical and digital objects, such as in
personalized human healthcare. This interconnectivity together with
large-scale data processing, advanced machine learning, robotics, and new
electronic techniques steadily brings innovation and business models of the
digital space into the physical world. Secure IoT systems are expected to
improve the intelligence of the systems, to improve the interaction between
the human and the environment, to enhance reliability, resilience, and agile
access control, to improve operational efficiency and energy efficiency, and
to optimize resource utilization. Many of the IoT systems and technologies
are relatively novel; there are still many untapped applications areas, and
numerous challenges and issues that need to be researched further for.
This Special Issue aims for data analysis, knowledge extraction, and
decision support solutions based on data technologies and cognitive methods
over the secure Internet of Things. This would extend tradition data
technologies by incorporating knowledge from domain experts as well as the
latest artificial intelligence solutions, such as how to perform medical
decision support with the healthcare knowledge and patient data collected by
secure IoT systems. The main focus is on research on the latest cognitive
computing embedded data technologies to process and to analyse the large
amount of data collected through secure IoT systems, and to help human
expert decision-making, such as in health care services. Cognitive computing
supported data processing facilitates a platform for the scientific
community to work for the latest solutions for challenges related to secure
IoT application towards smart infrastructure, such as to meet the real-world
requirement of healthcare service. We cordially invite investigators to
contribute their original research articles, with an emphasis on real-life
applications, as well as review articles that will stimulate further
activities in this area and improve our understanding of the key scientific
problems.
The scope includes (but is not limited to) the following:
• Cognitive computing models and prediction analytics (such as for
e-health);
• Cognitive semantic collective intelligence (such as in medical
applications);
• Cognitive computing algorithms (such as for smart healthcare systems);
• Cognitive design principles and best practices for IoT application
development (such as for human health services);
• Cognitive reasoning about IoT smart objects (such as for health care);
• Cognitive models for big data systems, theory, and applications (such as
in e-health);
• Cognitive data models (such as for telemedicine);
• Edge/fog/IoT for mobile/wireless/pervasive/proactive/personalized service
(such as healthcare);
• IoT sensors data management;
• IoT data mining and analytics (such as for smart medical devices).

Manuscript Submission Information

Manuscripts should be submitted online
at www.mdpi.com by registering and logging in to this website. Once you are
registered, click here to go to the submission form. Manuscripts can be
submitted until the deadline. All papers will be peer-reviewed. Accepted
papers will be published continuously in the journal (as soon as accepted)
and will be listed together on the special issue website. Research articles,
review articles as well as short communications are invited. For planned
papers, a title and short abstract (about 100 words) can be sent to the
Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be
under consideration for publication elsewhere (except conference proceedings
papers). All manuscripts are thoroughly refereed through a single-blind
peer-review process. A guide for authors and other relevant information for
submission of manuscripts is available on the Instructions for
Authors page. Applied Sciences is an international peer-reviewed open access
semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a
manuscript.  Submitted papers should be well formatted and use good English.
Authors may use MDPI's English editing service prior to publication or
during author revisions.

Online Manuscript Submission    http://susy.mdpi.com/

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