Open Access
Issue
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
Article Number 01022
Number of page(s) 8
DOI https://doi.org/10.1051/e3sconf/202450701022
Published online 29 March 2024
  1. Andreas Gunther, Miet Van-Den Eeckhaut, Jean Philippe Malet, Paola Reichenbach and Javier Hervas, “Landslide susceptibility assessment using spatial multi-criteria evaluation and transnational landslide in-formation Geographology”, 224:69–85, November (2015). [Google Scholar]
  2. Honghui Wang; Xianguo Tuo; Dashun Xi; Leilei Fan; Zhaoyi Zhang; Guiyu Zhang; Shuli Hao, “Research on One ZICM2410-Based Wireless Sensor Network for Landslide Monitoring”, pp. 1-4(2011) [Google Scholar]
  3. Chavan, Satishkumar & Pangotra, Shobha & Nair, Sneha & More, Vinayak & Nair, Vineeth. (2015). “Effective and Efficient Landslide Detection System to Monitor Konkan Railway Tracks”.ICTSD (2015). [Google Scholar]
  4. K.Elvarasi & S. Nandhini, “Landslide Monitoring and Tracking Using IoT Sensors”, 1717 (2021) [Google Scholar]
  5. Wu, Jianchao & Li, Weijie & Feng, Qian. “Electro-Mechanical Impedance (EMI) Based Interlayer Slide Detection Using Piezoceramic Smart Aggregates—A Feasibility Study”, 18, 10(2018) [Google Scholar]
  6. Nguyen CD, Tran TD, Tran ND, Huynh TH, Nguyen DT. “Flexible and Efficient Wireless Sensor Networks for Detecting Rainfall-Induced Landslides”. International Journal of Distributed Sensor Networks. 11, (2015) [Google Scholar]
  7. Rihab Fekih Romdhane; Y. Lami; D. Genon-Catalot; N. Fourty; A. Lagrèze; D. Jongmans; L. Baillet, “Wireless sensors network for landslides prevention”, pp. 222–227, Annecy, France (2017) [Google Scholar]
  8. Madhusudhan.Y.V, Renuka.H.C, Bhavya.S.S, Manjunatha.M.N, Alfred D’Souza, Kavyashree.B, “Landslide and Rockslide Detection System with Landslide Early Warning System for Railways”, 6 (2018) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.