Deep Learning- and IoT-Based Framework for Rock-Fall Early Warning

Deep Learning- and IoT-Based Framework for Rock-Fall Early Warning

In recent years, several strategies have been introduced to enhance early warning systems and lower the risk of rock-falls. In this regard, this paper introduces a deep learning- and IoT-based framework for rock-fall early warning, devoted to reducing rock-fall risk with high accuracy. In this frame...

Full description

Bibliographic Details
Main Authors: Mohammed Abaker, Hatim Dafaalla, Taiseer Abdalla Elfadil Eisa, Heba Abdelgader, Ahmed Mohammed, Mohammed Burhanur, Aiman Hasabelrsoul, Mohammed Ibrahim Alfakey, Mohammed Abdelghader Morsi
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
rock-fall risk
Internet of Things IoT
deep learning
early warning
Online Access:https://www.mdpi.com/2076-3417/13/17/9978

Internet

https://www.mdpi.com/2076-3417/13/17/9978

Similar Items