Call for Papers- SI on DLACTE

Special Issue on Advances of Deep Learning Applications in Civil and Transportation Engineering

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 Editor

Zheng Tong
Southeast University, Nanjing, China
Research Interests: Deep learning, Dempster-Shafer theory, Intelligent Inspection, Nondestructive testing

Guest Editors

Jie Gao
East China Jiaotong University, China
Research Interests: Deep Learning, Neural Network, Intelligent Non-Destructive Testing

Chengjia Han
Nanyang Technological University, Singapore
Research Interests: Deep Learning, Building Information Model (BIM), Neural Network, Image Processing


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The contributions from researchers describing their original, unpublished, research contribution on the following theme (but not limited to):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, 2023
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: