From Sensing Technology towards Digital Twin in Applications, 2nd Edition
A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Design, Modeling and Computing Methods".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1190
Special Issue Editor
Interests: human interface sensor; self-powered sensor; wearable sensor; digital twin; data confusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue follows the publication of the first edition of "From Sensing Technology towards Digital Twin in Applications", which presented eight interesting papers.
Sensing technology drives the motivation of innovation in digital technology, especially technology for data acquisition, machine learning, digital twin, and sustainable materials-based electronics. With the aid of these new technologies in sensing, human–machine connection, data handling, machine learning, and digital twin in the industrial domain, researchers need a general conclusion on these technologies for further thinking. Therefore, sensing towards digital twin technology has been studied and integrated into many fields, with extensive application in traditional industrial fields, such as automatic driving, smart cities, medical care, intelligent robots, etc.
This Special Issue aims to provide selected contributions to advances in physical sensing in machine learning, human–machine interfaces, data confusion, and various potential applications from sensors to digital twin innovations. Potential topics include, but are not limited to, the following:
- Physical sensing technologies, such as wearable sensors and nano/microsensors;
- Data confusion and machine learning;
- Modeling and simulation technology for virtual spaces;
- Human–computer interaction and collaboration between virtual models and physical entities;
- Intelligent decision-making based on digital twin technology;
Human factor analysis and optimization related to a digital twin.
Dr. Jianxiong Zhu
Guest Editor
Manuscript Submission Information
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Keywords
- physical sensing
- machine learning
- data management
- human–computer interaction and collaboration
- dynamic evaluation
- intelligent decision-making
- visualization
- digital twin
- smart system
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