Papers Earthquake prediction
“Earthquake prediction” 태그가 달린 논문 18편 · 필터 해제
Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review
Earthquake forecasting remains a significant scientific challenge, with current methods falling short of achieving the performance necessary for meaningful societal benefits. Traditional models, primarily based on past s…
Earthquake predictionPath Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together?
The path signature, having enjoyed recent success in the machine learning community, is a theoretically-driven method for engineering features from irregular paths. On the other hand, graph neural networks (GNN), neural …
Earthquake predictionObject-Size-Driven Design of Convolutional Neural Networks: Virtual Axle Detection based on Raw Data
As infrastructure ages, the need for efficient monitoring methods becomes increasingly critical. Bridge Weigh-In-Motion (BWIM) systems are crucial for cost-effective determination of loads and, consequently, the residual…
Earthquake predictionObject RecognitionRemote Sensing Scene Classification with Masked Image Modeling (MIM)
Remote sensing scene classification has been extensively studied for its critical roles in geological survey, oil exploration, traffic management, earthquake prediction, wildfire monitoring, and intelligence monitoring. …
ClassificationEarthquake predictionManagementScene Classification+1Earthquake Magnitude and b value prediction model using Extreme Learning Machine
Earthquake prediction has been a challenging research area for many decades, where the future occurrence of this highly uncertain calamity is predicted. In this paper, several parametric and non-parametric features were …
Disaster ResponseEarthquake predictionManagementValue predictionDeep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Earthquake forecasting and prediction have long and in some cases sordid histories but recent work has rekindled interest based on advances in early warning, hazard assessment for induced seismicity and successful predic…
Earthquake predictionPredictionA CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
Earthquakes, as natural phenomena, have continuously caused damage and loss of human life historically. Earthquake prediction is an essential aspect of any society's plans and can increase public preparedness and reduce …
Earthquake predictionPredictionTime Series ForecastingInitial Foundation for Predicting Individual Earthquake's Location and Magnitude by Using Glass-Box Physics Rule Learner
Although researchers accumulated knowledge about seismogenesis and decades-long earthquake data, predicting imminent individual earthquakes at a specific time and location remains a long-standing enigma. This study hypot…
Earthquake predictionSpatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern California
Geoscience and seismology have utilized the most advanced technologies and equipment to monitor seismic events globally from the past few decades. With the enormous amount of data, modern GPU-powered deep learning presen…
Deep LearningEarthquake predictionGPUPredictionA specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction
We present a simple yet efficient supervised machine learning algorithm that is designed for the GNSS position time series prediction. This algorithm has four steps. First, the mean value of the time series is subtracted…
Anomaly DetectionBIG-bench Machine LearningEarthquake predictionOutlier Detection+4Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training
In biomedical engineering, earthquake prediction, and underground energy harvesting, it is crucial to indirectly estimate the physical properties of porous media since the direct measurement of those are usually impracti…
Earthquake predictionPhysics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations
This paper presents the potential of applying physics-informed neural networks for solving nonlinear multiphysics problems, which are essential to many fields such as biomedical engineering, earthquake prediction, and un…
Earthquake predictionNeural Network Applications in Earthquake Prediction (1994-2019): Meta-Analytic Insight on their Limitations
In the last few years, deep learning has solved seemingly intractable problems, boosting the hope to find approximate solutions to problems that now are considered unsolvable. Earthquake prediction, the Grail of Seismolo…
ArticlesDeep LearningEarthquake predictionUsage of multiple RTL features for Earthquake prediction
We construct a classification model that predicts if an earthquake with the magnitude above a threshold will take place at a given location in a time range 30-180 days from a given moment of time. A common approach is to…
BIG-bench Machine LearningEarthquake predictionGeneral ClassificationPredictionEarthquake Prediction With Artificial Neural Network Method: The Application Of West Anatolian Fault In Turkey
A method that exactly knows the earthquakes beforehand and can generalize them cannot still been developed. However, earthquakes are tried to be predicted through numerous methods. One of these methods, artificial neural…
Earthquake predictionPredictionTraining Neural Networks Based on Imperialist Competitive Algorithm for Predicting Earthquake Intensity
In this study we determined neural network weights and biases by Imperialist Competitive Algorithm (ICA) in order to train network for predicting earthquake intensity in Richter. For this reason, we used dependent parame…
Earthquake predictionA fuzzy expert system for earthquake prediction, case study: the Zagros range
A methodology for the development of a fuzzy expert system (FES) with application to earthquake prediction is presented. The idea is to reproduce the performance of a human expert in earthquake prediction. To do this, at…
Earthquake predictionPredictionEarthquake magnitude prediction in Hindukush region using machine learning techniques
Earthquake magnitude prediction for Hindukush region has been carried out in this research using the temporal sequence of historic seismic activities in combination with the machine learning classifiers. Prediction has b…
BIG-bench Machine LearningBinary ClassificationEarthquake predictionPrediction+1