Open Access
| Issue |
E3S Web Conf.
Volume 672, 2025
The 17th ROOMVENT Conference (ROOMVENT 2024)
|
|
|---|---|---|
| Article Number | 01035 | |
| Number of page(s) | 6 | |
| Section | Indoor Climate: IAQ | |
| DOI | https://doi.org/10.1051/e3sconf/202567201035 | |
| Published online | 05 December 2025 | |
- S. Höfner, A. Schütze, Air quality measurements and education: Improving environmental aware- ness of high school students, Front. Sens. 2 (2021) [Google Scholar]
- P. Wargocki, J. Porras-Salazar, S. Contreras-Espinoza, W. Bahnfleth, The relationships between classroom air quality and children’s performance in school, Build. Env. 173 (2020) [Google Scholar]
- M. Pellegatti, S. Torresin, C. Visentin, F. Babich, N. Prodi, Indoor soundscape, speech perception, and cognition in classrooms: A systematic review on the effects of ventilation-related sounds on students, Build. Env. 236 (2023) [Google Scholar]
- F. Serpilli, S. Di Loreto, V. Lori, C. Di Perna, The impact of mechanical ventilation systems on acoustic quality in school environments, E3S Web Conf. 343 05002 (2022) [Google Scholar]
- R. Krause, T. Oppelt, C. Friebe, L. Modrakowski, K. Hackeschmidt, Sound level control for air handling units, in FAN 2022 – International Conference on Fan Noise, Aerodynamics, Applications and Systems, 27-29 June 2022, Senlis, France (2022) [Google Scholar]
- N. Dey, Intelligent speech signal processing (Elsevier Science, UK, 2019) [Google Scholar]
- K. Piczak, Environmental sound classification with convolutional neural networks, in 2015 IEEE International Workshop on Machine Learning for Signal Processing, Boston, USA (2015) [Google Scholar]
- K. Zaman, M. Sah, C. Direkoglu, M. Unoki, A survey of audio classification using deep learning, IEEE Access 11 (2023) [Google Scholar]
- M. Walczynski, J. Fica, Comparison of selected acoustic signal parameterization methods in the problem of machine recognition of classical music styles, in Progress in Image Processing, Pattern Recognition and Communication Systems – Proceedings of the Conference (CORES, IP&C, ACS) (2021) [Google Scholar]
- T. Truong, H. Nguyen, T. Mai, H. Nguyen, T. Dang, T. Phan, A deep learning-based approach for bee sound identification, Ecol. Inform. 78 (2023) [Google Scholar]
- Y. Costa, L. Oliveira, C. Silla, An evaluation of Convolutional Neural Networks for music classification using spectrograms, Appl. Soft. Comput. 52 (2017) [Google Scholar]
- Z. Ren, K. Qian, F. Dong, Z. Dai, W. Nejdl, Y. Yamamoto, B. Schuller, Deep attention-based neural networks for explainable heart sound classification, Mach. Learn. Appl. 9 (2022) [Google Scholar]
- R. Atienza, Advanced Deep Learning with Keras (Packt Publishing Ltd 2018) [Google Scholar]
- Keras, https://keras.io/ (2023) [Google Scholar]
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