Unveiling the potential: preliminary result on an AI-based onsite earthquake early warning system deployment in Denpasar City [PDF]
Due to Indonesia’s geographical location within the Pacific Ring of Fire, it is susceptible to earthquake occurrences. Therefore, the implementation of an Earthquake Early Warning (EEW) System is crucial to mitigate the impact of earthquakes.
Rudyanto Ariska +4 more
doaj +2 more sources
Toward a cross-border early-warning system for Central Asia
Rapidly expanding urban areas in Central Asia are increasingly vulnerable to seismic risk; but at present, no earthquake early warning (EEW) systems exist in the region despite their successful implementation in other earthquake-prone areas. Such systems
Jacek Stankiewicz +3 more
doaj +3 more sources
Development of a Seismic Detection Technology for High-Speed Trains Using Signal Analysis Techniques [PDF]
As the occurrence of earthquakes is increasing in South Korea, the earthquake early warning (EEW) system becomes indispensable for the protection of high-speed railways.
Jae Sang Moon, Mintaek Yoo
doaj +2 more sources
Rapid and Resilient LoRa Leap: A Novel Multi-Hop Architecture for Decentralised Earthquake Early Warning Systems [PDF]
We introduce a novel LoRa-based multi-hop communication architecture as an alternative to the public internet for earthquake early warning (EEW).
Vinuja Ranasinghe +11 more
doaj +2 more sources
Universal neural networks for real-time earthquake early warning trained with generalized earthquakes [PDF]
Deep learning enhances earthquake monitoring capabilities by mining seismic waveforms directly. However, current neural networks, trained within specific areas, face challenges in generalizing to diverse regions.
Xiong Zhang, Miao Zhang
doaj +2 more sources
Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand [PDF]
Earthquake P-wave detection is the first and most critical step in Earthquake Early Warning (EEW), as detection speed determines how much time is available before strong shaking arrives, while detection accuracy governs the reliability of the warning ...
Danuka Ravishan +3 more
doaj +2 more sources
Enhancing Railway Earthquake Early Warning Systems with a Low Computational Cost STA/LTA-Based S-Wave Detection Method [PDF]
To enhance real-time S-wave detection in the railway earthquake early warning (EEW) system, we improved the existing short-term average/long-term average (STA/LTA) algorithm.
Satoshi Katakami, Naoyasu Iwata
doaj +2 more sources
Performance Evaluation of a Dense MEMS-Based Seismic Sensor Array Deployed in the Sichuan-Yunnan Border Region for Earthquake Early Warning [PDF]
With the last decades of development, earthquake early warning (EEW) has proven to be one of the potential means for disaster mitigation. Usually, the density of the EEW network determines the performance of the EEW system.
Chaoyong Peng +4 more
doaj +2 more sources
Multi-parameter algorithm for Earthquake Early Warning
Earthquake Early Warning (EEW) system is a real-time earthquake damage mitigation system. It detects, analyzes and transmits information of the impending event at the potential user sites. In the present study, an attempt has been made to develop a multi-
Rakhi Bhardwaj +2 more
doaj +2 more sources
An Earthquake Early Warning Method Based on Bayesian Inference
Earthquake early warning (EEW) systems can give people warnings before damaging ground motions reach their site and can reduce earthquake-related losses.
Jingsong Yang +3 more
doaj +2 more sources

