Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics
- DOI
- 10.3390/make6010006
- Published
- 2024-01-04
- Container
- Machine Learning and Knowledge Extraction
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/make6010006,
title = {Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics},
author = {Jennifer Werner and Dimitri Nowak and Franziska Hunger and Tomas Johnson and Andreas Mark and Alexander Gösta and Fredrik Edelvik},
year = {2024},
journal = {Machine Learning and Knowledge Extraction},
doi = {10.3390/make6010006},
url = {https://doi.org/10.3390/make6010006}
}RIS
TY - JOUR TI - Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics AU - Jennifer Werner AU - Dimitri Nowak AU - Franziska Hunger AU - Tomas Johnson AU - Andreas Mark AU - Alexander Gösta AU - Fredrik Edelvik PY - 2024 JO - Machine Learning and Knowledge Extraction DO - 10.3390/make6010006 UR - https://doi.org/10.3390/make6010006 ER -
APA
Werner, J., Nowak, D., Hunger, F., Johnson, T., Mark, A., Gösta, A., & Edelvik, F. (2024). Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics. Machine Learning and Knowledge Extraction. https://doi.org/10.3390/make6010006
Source records
- crossref · retrieved 2026-09-27T03:15:11.304Z