IoT-based Urban Noise Identification Using Machine Learning-Reference-Cited by-同舟云学术

IoT-based Urban Noise Identification Using Machine Learning

Published:2019-05-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Omni-Layer Intelligent Systems
language:
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Author:

Alsouda Yasser¹,Pllana Sabri¹,Kurti Arianit¹

Affiliation:

1. Linnaeus University, Växjö, Sweden

Funder

Swedish Knowledge Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3312614.3312631

Reference22 articles.

1. Scalable identification of mixed environmental sounds, recorded from heterogeneous sources

2. Christopher Bishop. 2006. Pattern Recognition and Machine Learning (1 ed.). Springer-Verlag New York Inc. New York NY USA. Christopher Bishop. 2006. Pattern Recognition and Machine Learning (1 ed.). Springer-Verlag New York Inc. New York NY USA.

3. Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

4. Arthur Flexer and Monika Dörfler. 2018. aMOBY: Acoustic Monitoring of Biodiversity. https://amoby.ofai.at/ (accessed Dec. 17 2018). Arthur Flexer and Monika Dörfler. 2018. aMOBY: Acoustic Monitoring of Biodiversity. https://amoby.ofai.at/ (accessed Dec. 17 2018).

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