An ensemble learning–based experimental framework for smart landslide detection, monitoring, prediction, and warning in IoT-cloud environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-30683-6.pdf
Reference41 articles.
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3. Adeel A, Gogate M, Farooq S, Farooq C, Dashtipour K, Larijani H, Larijani A (2018) A survey on the role of wireless sensor networks and IoT in disaster management. Springer Natural Hazards. pp 57–66. https://doi.org/10.1007/978-981-13-0992-2_5
4. Bjorklund, M. (2017). Automatic spot detection in large-scale fluorescence microscopy image dataset.
5. Chang Z, Catani F, Huang F, Liu G, Meena SR, Huang J, Zhou C (2023) Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors. J Rock Mech Geotech Eng 15(5):1127–1143
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