[HTML][HTML] Air Temperature Variations in Multiple Layers of the Indonesia Earthquake Based on the Tidal Forces
X Lu, W Ma, C Yu, J Zhao, A Niu - Remote Sensing, 2023 - mdpi.com
The air temperature changes in the Palu MW7. 5 earthquake in Indonesia on 28 September
2018 were analyzed, based on the additive tectonic stress caused by celestial tidal …
2018 were analyzed, based on the additive tectonic stress caused by celestial tidal …
[HTML][HTML] A Comparative Study on Multi-Parameter Ionospheric Disturbances Associated with the 2015 Mw 7.5 and 2023 Mw 6.3 Earthquakes in Afghanistan
R Rasheed, B Chen, D Wu, L Wu - Remote Sensing, 2024 - mdpi.com
This paper presents a multi-parameter ionospheric disturbance analysis of the total electron
content (TEC), density (Ne), temperature (Te), and critical frequency foF2 variations …
content (TEC), density (Ne), temperature (Te), and critical frequency foF2 variations …
[HTML][HTML] Application of Model-Based Time Series Prediction of Infrared Long-Wave Radiation Data for Exploring the Precursory Patterns Associated with the 2021 …
J Zhang, K Sun, J Zhu, N Mao, D Ouzounov - Remote Sensing, 2023 - mdpi.com
Taking the Madoi MS 7.4 earthquake of 21 May 2021 as an example, this paper proposes
using time series prediction models to predict the outgoing long-wave radiation (OLR) …
using time series prediction models to predict the outgoing long-wave radiation (OLR) …
Atmospheric precursors associated with two Mw> 6.0 earthquakes using machine learning methods
The advancements in remote sensing (RS) satellite applications have revolutionized natural
disaster surveillance and prediction in the earthquake monitoring by delineating various …
disaster surveillance and prediction in the earthquake monitoring by delineating various …
Elite GA-based feature selection of LSTM for earthquake prediction
Z Ye, W Lan, W Zhou, Q He, L Hong, X Yu… - The Journal of …, 2024 - Springer
Earthquake magnitude prediction is an exceptionally challenging task that has been
explored through various machine learning approaches. However, the development of …
explored through various machine learning approaches. However, the development of …
[HTML][HTML] Machine Learning-Based Precursor Detection Using Seismic Multi-Parameter Data
X Lu, Q Wang, X Zhang, W Yan, L Meng, H Wang - Applied Sciences, 2024 - mdpi.com
The application of certain mathematical–statistical methods can quantitatively identify and
extract the abnormal characteristics from the observation data, and the comprehensive …
extract the abnormal characteristics from the observation data, and the comprehensive …
[HTML][HTML] Investigation of Atmospheric Anomalies due to the Great Tohoku Earthquake Disturbance Using NRLMSISE-00 Atmospheric Model Measurement
L Endeshaw - Pure and Applied Geophysics, 2024 - Springer
In this study, the atmospheric changes for the 9.0-magnitude Tohoku earthquake, which
occurred on March 11, 2011, are analyzed. The March 11, 2011 earthquake was preceded …
occurred on March 11, 2011, are analyzed. The March 11, 2011 earthquake was preceded …
Impact of climatic anomalies and reservoir induced seismicity on earthquake generation using Federated Learning
In this article, earthquake forecasting model using federated learning (FL) technique has
been proposed. Federated Learning is the most advanced technique of machine learning …
been proposed. Federated Learning is the most advanced technique of machine learning …
GNSS TEC and Swarm Satellites for the detection of Ionospheric Anomalies Possibly associated with 2018 Alaska Earthquake
In the hunt for seismic precursors with GNSS to detect earthquake-related anomalies in
ionosphere are proved as an effective strategy. One method is to use GNSS TEC to …
ionosphere are proved as an effective strategy. One method is to use GNSS TEC to …