Big Data and Artificial Intelligence for Industry 4.0
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 32854
Special Issue Editors
Interests: big data; big data analytics; NoSQL databases; data warehouse; design process; data mining; analytics; social business intelligence; opinion mining; preference queries; what-if analysis; precision farming; ontologies; machine learning; trajectory data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: big data; big data analytics; NoSQL databases; social data analysis; trajectory data analysis; precision farming, business intelligence; machine learning; OLAP analysis; data warehouse; semantic web
Special Issue Information
Dear Colleagues,
Industry 4.0 pushes towards manufacturing automation through the digitalization of industrial processes and the adoption of smart technology such as 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 amount of generated data poses challenges concerning the collection and management of big data, but also presents several opportunities, such as the extraction of knowledge from these data, which can drive decision-making and the continuous improvement of industrial operations and production chain processes. The distance between the research fields of electronics and data analysis is still considerable and makes it difficult to identify and seize these opportunities. The most common question that practitioners and researchers with electronic 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 state-of-the-art advancements in the adoption of big data and artificial intelligence techniques to meet the requirements of Industry 4.0. We welcome novel contributions, in every application area, of innovative methodological proposals and practical applications, as well as sophisticated review articles. The topics of interest include, but are not limited to, the following:
- 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
Prof. Dr. Matteo Golfarelli
Prof. Dr. Enrico Gallinucci
Guest Editors
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Keywords
- 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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