Connectionists: Special Issue on Intelligent Data-Centric Systems Journal of Mathematical Biosciences and Engineering

[Bernabe Dorronsoro]

Special Issue on Intelligent Data-Centric Systems 
Journal of Mathematical Biosciences and Engineering 
Editorial: AIMS Press 
ISSN: 1551-0018
Impact Factor JCR: 1.285 (Mathematical & Computational Biology)
https://www.aimspress.com/mbe/article/5860/special-articles

Manuscript Topics
Data-centric software systems support the communication, processing and analysis
of  large,  heterogeneous data  volumes  and flows  in  many modern  application
scenarios.  For  example,  cyber-physical systems  need  to  deal with  enormous
volumes of data that are generated continuously in the scope of the Internet  of
Things, still they need to work efficiently, and they must be scalable, reliable
and trustworthy at all times. The ability to handle lakes and streams of data in
order  to  turn them  into  informed decisions  can  lead to  great  competitive
advantages  for companies  and administrations  alike, as  well as  improve the
quality of life for the citizens  of information society. Such abilities can  be
seen in biological systems  based on the intelligence  of living beings but  the
functioning  has  yet  to  be fully  understood  and  transferred  for technical
utilization. In particular, the question is how to support data-centric software
systems with artificial intelligence, e.g. by means of learning and  recognizing
patterns from large  amounts of complex  or unstructured data.  Furthermore, the
basic mechanisms of intelligent behavior might be combined with and improved  by
complementary techniques  like federation  and transfer  of learning  as well as
contextualization of the data.  The inherent complexity of  resulting approaches
together with the strict qualitative requirements of sensitive application areas
are  calling  for  solid formal  methods  with  sound mathematical  foundations.
Subsequently, this  special issue  focuses on  novel approaches  for large scale
data  management and  engineering that  are based  on a  bio-inspired notion  of
intelligence as well as their formal foundations.

The areas of interest include, but are not limited, to:
● Formal models and methods of intelligent data processing
● Bio-inspired intelligent algorithms for data-centric systems
● Technologies for data-driven decision making
● Architecture of intelligent data-centric software systems
● AI-methods for software engineering 
● Smart Internet of Things and cyber-physical intelligence
● Intelligent cloud, edge and fog computing
● Data processing for smart devices
● Data-centric communication protocols
● Context-aware data sharing
● Applications of novel intelligent data-centric systems

Paper Submission  
The deadline  for manuscript  submission is  01 May  2021. All manuscripts  will
be peer-reviewed before  their acceptance for publication. 

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Guest Editors
Prof.   Guadalupe  Ortiz  Department   of  Computer  Science  and   Engineering,
University of Cádiz, Spain. Email: guadalupe.ortiz at uca.es
Prof. Bernabé Dorronsoro  Escuela Superior de  Ingeniería, University of  Cádiz,
Spain Email: bernabe.dorronsoro at uca.es
Prof. Christian  Zirpins Faculty  of Computer  Science and  Business Information
Systems, Karlsruhe  University of  Applied Sciences,  Karlsruhe, Germany  Email:
christian.zirpins at hs-karlsruhe.de

For questions please email to the guest editors.