Forthcoming Special Issue
Forthcoming Special Issue on Recent Advances in Computer Vision and Artificial Intelligence Technology
submission deadline: Sept 2022
Guest Editors: Ramesh Manza, Pravin Yannawar, Bharti Gawali
Aims and Scope
The great success of artificial intelligence (AI) and Deep Learning (DL) technologies has led to the possibility of developing more advanced techniques in civil engineering and transportation engineering. Deep neural network-based machine learning is a promising tool to overcome the greatest challenges in structural health monitoring, smart sensing, building information modelling, traffic planning, and so on.
This Special Issue is dedicated to documenting the latest applications and results of AI and DL technologies in civil engineering and transportation engineering.
Lead Guest Editors
Zheng Tong
Southeast University, Nanjing, China
Research Interests: Deep learning, Dempster-Shafer theory, Intelligent Inspection, Nondestructive testing
Special Issue Information
The contributions from researchers describing their original, unpublished, research contribution on the following theme (but not limited to):
· Structural Health Monitoring
· AI-based Automated Diagnosis and Non-Destructive Examination
· Smart Sensing
· Building Information Modeling
· Automated Inspection
· Smart Structure
· Traffic Planning
· Decision-making with Deep Learning
Manuscript Submission Information
Submission deadline: December 31, 2022
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field.
Free fast publication and early access will be provided to all accepted papers.
If you have any queries regarding this special issue or other matters, please feel free to contact the editorial office: yu@bonviewpress.org
Forthcoming Special Issue on Recent Advances in Computer Vision and Artificial Intelligence Technology
submission deadline: Sept 2022
Guest Editors: Ramesh Manza, Pravin Yannawar, Bharti Gawali
The journal welcome submissions related to aritifical intelligence.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 International License.
ISSN 2811-0854 | Published by Bon View Publishing Pte Ltd.
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