Manufacturing IoT and Manufacturing Big Data
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4827
Special Issue Editors
Interests: intelligent manufacturing; manufacturing big data and manufacturing information systems
Special Issues, Collections and Topics in MDPI journals
Interests: mechanical and system engineering; operation research and robotics
Interests: complex system: modeling, control and optimization; machine intelligence: AGI, SI, EA, MAS, etc.; smart manufacturing
Interests: manufacturing big data and manufacturing information systems; intelligent manufacturing; machine learning; deep transfer learning; fault diagnosis; imbalanced data processing and predictive maintenance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are inviting submissions to the Special Issue on “Manufacturing IoT and Manufacturing Big Data”. The Special Issue aims to provide a high-level international publishing platform for experts and scholars to report the newest developments and latest practice in manufacturing IoT, manufacturing big data, smart manufacturing, and industrial engineering and logistics. The Special Issue will focus on the state-of-the-art theories and technologies of manufacturing IoT, big data for smart manufacturing, digital-twin-driving intelligent manufacturing, industrial engineering and intelligent logistics (exploring how the emerging technologies utilize the concept of smart production), and innovative design and service in manufacturing, including but not limited to the following topics:
- Intelligent manufacturing method systems for industrial big data, manufacturing big data analysis models and algorithms (e.g., imbalanced learning, few-shot learning, positive-unlabeled (PU) learning, zero-shot learning, and modeling methods under various operating conditions), new generation of artificial intelligence methods, etc.;
- Manufacturing big data perception, manufacturing big data integration, manufacturing big data modeling, CPS technology, manufacturing data platforms, edge computing, etc.;
- Intelligent product design, intelligent workshop analysis and optimization, intelligent product operation and maintenance, PHM and predictive maintenance, digital-twin-driving intelligent manufacturing, intelligent logistics, etc.;
- Industrial digitalization and digital industrialization: models, algorithms, and scenarios of big data and real economy, key technologies for marketization of data elements, etc.
Prof. Dr. Haisong Huang
Dr. Sai Hong Tang
Dr. Wei Qin
Dr. Jianan Wei
Guest Editors
Manuscript Submission Information
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