Intelligent Monitoring, Control and Optimization in Industries 4.0/5.0: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 50
Special Issue Editor
Interests: intelligent automation; robotics; Petri nets; discrete event systems; wireless sensor network; big data; Web service; workflow; energy-efficient systems; semiconductor manufacturing; intelligent transportation; and optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to provide an overview of emerging intelligent computing technologies by shedding light on the progress made in artificial intelligence (AI), machine learning (ML), bioinformatics, and computational biology. It is also dedicated to emerging and challenging topics in the relevant fields of research. This issue mainly concentrates on theories and methodologies, as well as the emerging applications of intelligent computing.
The rapid development of AI, big data, and ML has promoted the transformation of traditional enterprises from process-driven, centrally controlled organizations to shared platforms and new forms of highly decentralized organizations. This transition has changed all aspects of business operations and production. Using emerging technologies to innovate has become a key research direction and can lead to breakthrough performances and significant growth. In recent years, intelligence technologies, such as image recognition, speech recognition, and neural networks, have been widely adopted to solve various optimization problems. These technologies cannot only promote innovations and the development of industries, but also play an important role in driving innovative development in all relevant aspects of the economy and society.
This research topic aims to present the latest advances in, and developments of, new methods, techniques, systems, and tools dedicated to applications of the above-mentioned enabling technologies.
Contributions to theories and practice, including but not limited to the following technical areas, are welcomed:
- Sensing Technologies for Industries 4.0/5.0.
- Internet of Things and Internet of Behavior for Industries 4.0/5.0.
- Big Data Analysis for Industries 4.0/5.0.
- Artificial Intelligence and Evolutionary Techniques for Industries 4.0/5.0.
- Intelligent Monitoring and Control Systems.
- Data-Driven Modelling and Optimization.
- Machine and Deep Learning for Intelligent Systems.
- Data-driven Scheduling Industrial Processes.
- Data Analysis for Monitoring and Control of Industrial Operations.
- Computational Intelligence Technologies for Industries.
- Machine Learning for Sustainable Manufacturing, 3D Printing, and Remanufacturing.
- Industrial Applications and Case Studies.
Please contact guest editors for any questions regarding your possible contributions to this Special Issue.
Prof. Dr. Mengchu Zhou
Guest Editor
Manuscript Submission Information
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Keywords
- big data analysis
- data-driven modelling
- sustainable manufacturing
- industries 4.0/5.0
