Special Issue "Drone-Based Remote Sensing for Industry 4.0 and Related Technologies"
Deadline for manuscript submissions: closed (31 January 2021).
Interests: drones; cybersecurity and cyber attack vulnerability of UAVs; mechanical design of UAVs; path planning; Industry 4.0; mechatronics and advanced controls
Interests: modelling and simulation; decision support systems; data analytics; artificial intelligence; Industry 4.0; cyber-physical systems; reliability analysis
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Industry 4.0, which refers to the Fourth Industrial Revolution, has already transformed production and manufacturing industries significantly and provides a host of opportunities. The same concept is also transforming other areas of technology, allowing them to enjoy the benefits and unleashing the potential of digitalization. In District Energy 4.0, Grid 4.0, Water 4.0, and Oil and Gas 4.0, digitalization plays an important role that incorporates the same features found in Industry 4.0. Specifically, drone technology has undergone a significant transformation and has found applications in different fields. The global drone market is expected to reach $70 billion worldwide by 2029. One of the important applications related to drones is remote sensing for Industry 4.0 and related technologies, which is the focus of this Special Issue.
The main topics of interest include, but are not limited to, the following:
- Drone-based imaging
- Cybersecurity and cyber attack vulnerability
- Risk assessment and safety
- Drone path planning and obstacle avoidance for remote sensing
- Drones for additive manufacturing
- Integration of drones and Internet of things (IoT)
- Artificial intelligence and data mining-based strategies for drone-based inspection
- Drone onboard data storage, transmission, and retrieval
- Collaborative strategies and mechanisms to control multiple unmanned aerial vehicles (UAVs) and sensor networks for remote sensing
- Theoretical and practical challenges of remote sensing in District Energy 4.0, Grid 4.0, Water 4.0, and Oil and Gas 4.0
Dr. Maryamsadat Tahavori
Dr. Sanja Lazarova-Molnar
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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