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NoiseTube: Measuring and mapping noise pollution with mobile phones
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Cited by
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2914030 · Cited by 594
A location-based incentive mechanism for participatory sensing systems with budget constraints
Jaimes, L. G., Vergara-Laurens, I., & Labrador, M. A. (2012) · 2012 IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2012.6199855 · Cited by 256
Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience
Degbelo, A., Granell, C., Trilles, S., Bhattacharya, D., Casteleyn, S., & Kray, C. (2016) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi5020016 · Cited by 166
Higher Education Check-Ins: Exploring the User Experience of Hybrid Location Sensing
Huang, Y., Sang, Y., Wu, Q., & Yao, Y. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359168 · Cited by 12
Metadata
- Authors
- Maisonneuve, N., Stevens, M., Niessen, M. E., & Steels, L.
- Venue
- Environmental Science and Engineering
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009
- Pages
- 215-228
- ISSN
- 1863-5520 (ISSN-L)
- OpenAlex
- W1583075929
- Cited by
- 419
- References
- 0
- FWCI
- 47.27
- Type
- book chapter
- Language
- en
- Open access
- green
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: NoiseTube: Measuring and mapping noise pollution with mobile phones. https://app.cochat.ai/papers/10.1007/978-3-540-88351-7_16
- The paper
- Maisonneuve, N., Stevens, M., Niessen, M. E., & Steels, L. (2009). NoiseTube: Measuring and mapping noise pollution with mobile phones. Environmental Science and Engineering. https://doi.org/10.1007/978-3-540-88351-7_16
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
