[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)
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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 _______________________________________________ Please do not post msgs that are not relevant to the database community at = large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms. To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld