Spatio–temporal attention based real-time environmental monitoring systems for landslide monitoring and prediction-Reference-Cited by-同舟云学术

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Spatio–temporal attention based real-time environmental monitoring systems for landslide monitoring and prediction

Published:2023-06-26 Issue: Volume: Page:
ISSN:2366-3286
Container-title:Spatial Information Research
language:en
Short-container-title:Spat. Inf. Res.

Author:

Babu M. Vijay Sekhar,Ashokkumar N.,Joshi Anjali,Deshpande Pallavi Sagar,Keshta Ismail,Maaliw Renato R.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s41324-023-00532-2.pdf

Reference29 articles.

1. Ferrari, A., Ginis, P., Hardegger, M., Casamassima, F., Rocchi, L., & Chiari, L. (2016). A mobile Kalman-filter based solution for the real-time estimation of spatio-temporal gait parameters. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(7), 764–773. https://doi.org/10.1109/TNSRE.2015.2457511

2. Yang, D., Zhang, H., Yurtsever, E., Redmill, K. A., & Özgüner, Ü. (2022). Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention. IEEE Transactions on Intelligent Vehicles, 7(2), 221–230. https://doi.org/10.1109/TIV.2022.3162719

3. Joolee, J. B., & Jeon, S. (2022). Data-driven haptic texture modeling and rendering based on deep spatio-temporal networks. IEEE Transactions on Haptics, 15(1), 62–67. https://doi.org/10.1109/TOH.2021.3137936

4. Feng, Z., Song, W., Fu, M., Yang, Y., & Wang, M. (2022). Decision-making and path planning for highway autonomous driving based on spatio-temporal lane-change gaps. IEEE Systems Journal, 16(2), 3249–3259. https://doi.org/10.1109/JSYST.2021.3096932

5. Xiang, W., et al. (2021). Modeling saline mudflat and aquifer deformation synthesizing environmental and hydrogeological factors using time-series InSAR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 11134–11147. https://doi.org/10.1109/JSTARS.2021.3123514

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