Application of Artificial Intelligence, Machine Learning, and Numerical Simulations in Fire Engineering and Sciences
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: closed (20 January 2023) | Viewed by 6652
Special Issue Editors
Interests: mobile robotics; wildfires; mechatronics; field robotics; parallel robots; climbing robots; drones
Special Issues, Collections and Topics in MDPI journals
Interests: rehabilitation robotics; assistive robotics; medical engineering; applied machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: fuzzy systems; evolving systems; intelligent control; failure detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI), Machine Learning (ML), and Numerical Simulations (NS) in Fire Engineering and Sciences are opening the door to new and exciting opportunities in this domain. This special issue aims at showcasing the potential of convergence between AI, ML and NS to deliver unique solutions that can bypass bottlenecks associated with traditional methods. At the same time, this special issue hopes to converge machine learning and traditional methods to distill their advantages and overcome their individual limitations. In a way, the goal of this special issue is to foster works targeting the following potential areas of (as well as those related to such areas):
1. in fire engineering
2. in structural fire design
3. in fire detection, suppression and mitigation
4. in fire-related sensor and software design
5. in materials (e.g., construction, fire-resistive etc.) investigation
6. in decision making for fire engineering applications
Dr. Carlos Viegas
Dr. João Ruivo Paulo
Dr. Jérôme Mendes
Guest Editors
Manuscript Submission Information
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Keywords
- fire
- machine learning
- structures
- design
- materials
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