[DBWorld] Call for Papers: [Big Data and Artificial Intelligence for Industry 4.0] ? Special Issue in MDPI Ele

"matteo.golfarelli--- via DBWorld" <[email protected]> Thu, 10 Jun 2021 08:26:36 -0500 (CDT)
Newsgroups gmane.comp.db.dbworld
Message-ID <[email protected]>
Dear Colleague,

Apologies if you receive multiple copies of this CFP.
 =

I am pleased to advise you about the following open call-for-papers

MDPI ELECTRONICS Journal Special Issue on BIG DATA AND ARTIFICIAL INTELLIGE=
NCE FOR INDUSTRY 4.0
IMPACT FACTOR 2.412
LINK httpswww.mdpi.comjournalelectronicsspecial_issuesBDAI_electronics
DEADLINE for manuscript submission is JANUARY 31, 2022

Electronics (ISSN 2079-9292) is an open-access journal of MDPI indexed by t=
he Science Citation Index Expanded=97Web of Science (Impact Factor=97SCIE (=
2020) =3D 2.412), and we are serving as Guest Editors of the =93Big Data an=
d Artificial Intelligence for Industry 4.0=94 Special Issue. The aim of the=
 Special Issue is to build a bridge between the world of electronics and da=
ta analysis by presenting state-of-the-art advancements in the adoption of =
big data and artificial intelligence techniques to meet the requirements of=
 Industry 4.0. Please find the full summary below.

We hope you find this topic to be of interest. In this case, we would appre=
ciate it if you could let us know so that we can send you further details r=
egarding the submission process.

Feel free to contact us for further information, and we look forward to rec=
eiving your contribution.

Best regards,

Prof. Matteo Golfarelli
Prof. Enrico Gallinucci

SUMMARY Industry 4.0 pushes towards manufacturing automation through the di=
gitalization of industrial processes and the adoption of smart technology l=
ike Internet of Things (IoT) devices. Industry 4.0 solutions go beyond the =
application to smart factories, also covering the sectors of logistics and =
traceability, smart agriculture, healthcare, and others. The enormous amoun=
t of generated data poses challenges concerning the collection and manageme=
nt of big data, but also opens to several opportunities, as the extraction =
of knowledge from these data can drive decision-making and the continuous i=
mprovement of industrial operations and production chain processes. The dis=
tance between the research fields of electronics and data analysis is still=
 considerable and makes it difficult to identify and seize these opportunit=
ies. The most common question that practitioners and researchers with elect=
ronic backgrounds ask is What can I do with all this data.

This Special Issue of Electronics aims to build a bridge between the world =
of electronics and data analysis by presenting the state-of-the-art advance=
ment in the adoption of Big Data and Artificial Intelligence techniques to =
meet the requirements of Industry 4.0. We welcome novel contributions, in e=
very application area, of innovative methodological proposals and practical=
 applications, as well as sophisticated review articles. The topics of inte=
rest include, but are not limited to, the following topics
- Industry 4.0
- Industrial Big Data and AI
- Cyber-Physical Systems
- Smart Factory
- Predictive Maintenance
- E-Health
- Smart Agriculture
- Industrial Process Monitoring and Automation
- Digital Transformation Processes
- Data-Driven Applications
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