Artificial Intelligence in Acoustic Simulation and Design
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: closed (20 November 2024) | Viewed by 482
Special Issue Editors
Interests: indoor comfort; acoustics; impaired individual comfort perception; acoustic and thermal material characterization; building elements; numerical simulations; sustainability; timber buildings
Special Issues, Collections and Topics in MDPI journals
Interests: porous material vibro-acoustic characterization and design; numerical modeling for the study of acoustical radiation and noise control; active noise control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Acoustics is one of the most highly rated parameters for the built environment and cities. Sound is central to everyday life and it affects the activities and comfort of individuals. It can both cause stress and also be relaxing. This dual effect intrigues acoustics scientists and stimulates new ideas and research every day. At present, humanity is dealing with a new and wide-ranging tool: artificial intelligence. This tool also presents a dual effect: it can be very useful if used correctly or very harmful if misused.
The coupling of artificial intelligence and acoustics is a brand new field of science, and is one that is sure to lead to interesting applications and uses.
For these reasons, this Special Issue, “Artificial Intelligence in Acoustic Simulation and Design”, has been launched. This Special Issue aims to include original research and high-quality review articles on the use of artificial intelligence in every field of acoustics, including its possible applications, the use of datasets, machine learning, simulation-based research, and design. Reports on experimental, computational, or multidisciplinary research are encouraged, and review articles describing the current state of the art are also welcome.
Dr. Marco Caniato
Dr. Paolo Bonfiglio
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- simulation design acoustics
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