Artificial Intelligence in Civil and Environmental Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1379
Special Issue Editors
Interests: artificial intelligence techniques applied to civil engineering: artificial neural networks; evolutionary computation; artificial vision; ports and coasts; hydrology; construction; environmental science
Interests: evolutionary computation; artificial neural networks; artificial intelligence; feature selection; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Achieving algorithms that mimic intelligent behavior has been a research goal since the mid-1950s for, among others, John McCarthy, Warren McCullough and Walter Pitts. As a result of this research, techniques such as Artificial Neural Networks, Genetic Algorithms and Genetic Programming have emerged.
After overcoming a small bump in recent years, they have been revived under the name of Deep Neural Networks, or Deep Learning; These networks have a similar (and simpler) basis to brain functioning and take advantage of the emergence of new learning algorithms and greater computational capabilities.
In the last decade, advances in the field of Artificial Intelligence have had and are having a strong influence on the different fields of civil and environmental engineering. New methods of applying AI algorithms are emerging that allow civil engineers to use computer science in different ways to solve real problems in the fields within civil engineering and environmental sciences: hydrology, concrete and construction, ports and coasts, Waste Management, the Atmospheric Environment, Climate Change, Environmental Health, Renewable Energy, etc.
This Special Issue aims to accommodate, on the one hand, the latest theoretical advances in this field, such as new learning paradigms, new algorithms and new architectures in Artificial Intelligence, and, on the other hand, more recent works in the scientific field in which the authors have used an Artificial Intelligence algorithm to solve a problem in the fields of civil and environmental engineering.
We invite researchers and investigators to contribute their original research or review articles to this Special Issue.
Prof. Dr. Juan R. Rabuñal
Dr. Marcos Gestal
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence, machine learning, deep learning
- applications of artificial intelligence in civil and environmental engineering
- hydrology
- construction: concrete, steel, new materials
- ports and coasts
- transport
- waste management
- atmospheric environment
- climate change
- environmental health
- renewable energy
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