New Progress in Construction Machinery and Vehicle Engineering II
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 14366
Special Issue Editors
Interests: smart sensors; IoT; digital twin; precision agriculture; digital physical therapy
Special Issues, Collections and Topics in MDPI journals
Interests: drones; robots; swarm drones; swarm robotics; IoT; smart sensors; mechatronics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
The proposed Special Issue will focus on original innovation, integrated innovation, and introduced and absorbed re-innovation in the field of construction machinery and vehicle engineering technology.
In view of development trends regarding big data, cloud computing, networking technology, virtual reality technology applied in the field of construction machinery, and vehicle engineering, innovative solutions and new theories will be promoted in this Special Issue.
We invite authors to submit high-quality research articles and review articles, covering modern theories and methods of construction machinery and vehicle engineering. The topics of the Special Issue are expressed by but not limited to the following:
- Technological trends in the intelligent development of international construction machinery and vehicle engineering;
- Modern design theory and method of construction machinery and vehicle engineering;
- Virtual reality technology applied in machinery design;
- Innovation of whole machine and key components;
- Quality, cost control, and management;
- Application of networking technology in construction machinery and vehicle engineering;
- Application of artificial intelligence in construction machinery and vehicle engineering;
- Application of big data analytics in construction machinery and vehicle engineering;
- Application of cloud computing in construction machinery and vehicle engineering;
- Computer vision and application in construction machinery and vehicle engineering.
Prof. Subhas Mukhopadhyay
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
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