Predicting the magnitude of an impending earthquake using deep learning techniques
暂无分享,去创建一个
[1] S. Mukherjee,et al. Investigating the relationship between earthquake occurrences and climate change using RNN-based deep learning approach , 2021, Arabian Journal of Geosciences.
[2] S. Mukherjee,et al. Impact of climate change on seismicity:a statistical approach , 2021, Arabian Journal of Geosciences.
[3] S. Mukherjee,et al. Investigating the relationship between earthquake occurrences and global temperature fluctuation patterns , 2021, Arabian Journal of Geosciences.
[4] S. Mukherjee,et al. Multifractal, nonlinear, and chaotic nature of earthquake and global temperature , 2021, Arabian Journal of Geosciences.
[5] Yu Huang,et al. Recurrent neural networks for complicated seismic dynamic response prediction of a slope system , 2021 .
[6] B. Pradhan,et al. Earthquake risk assessment in NE India using deep learning and geospatial analysis , 2021, Geoscience Frontiers.
[7] Seyyed Ahmad Hosseini,et al. Spatiotemporally explicit earthquake prediction using deep neural network , 2021, Soil Dynamics and Earthquake Engineering.
[8] Xiaobo Lu,et al. DLEP: A Deep Learning Model for Earthquake Prediction , 2020, 2020 International Joint Conference on Neural Networks (IJCNN).
[9] Yinhai Wang,et al. Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values , 2020, Transportation Research Part C: Emerging Technologies.
[10] Mohammed Issam Kabbaj,et al. LSTM-based Models for Earthquake Prediction , 2020, NISS.
[11] Changjun Zhou,et al. Forecasting stock prices with long-short term memory neural network based on attention mechanism , 2020, PloS one.
[12] Yifan Guo,et al. Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach , 2020, IEEE Transactions on Emerging Topics in Computing.
[13] Christophe Guyeux,et al. Major earthquake event prediction using various machine learning algorithms , 2019, 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM).
[14] Amelia Ritahani Ismail,et al. Adam Optimization Algorithm for Wide and Deep Neural Network , 2019, Knowl. Eng. Data Sci..
[15] Wen Yu,et al. Earthquake Magnitude Prediction Using Recurrent Neural Networks , 2019, Proceedings.
[16] Marco Broccardo,et al. One neuron versus deep learning in aftershock prediction , 2019, Nature.
[17] Tanvi Bhandarkar,et al. Earthquake trend prediction using long short-term memory RNN , 2019, International Journal of Electrical and Computer Engineering (IJECE).
[18] Hang Lei,et al. Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization , 2019 .
[19] F. Viégas,et al. Deep learning of aftershock patterns following large earthquakes , 2018, Nature.
[20] Jipan Huang,et al. LARGE EARTHQUAKE MAGNITUDE PREDICTION IN TAIWAN BASED ON DEEP LEARNING NEURAL NETWORK , 2018 .
[21] Qunying Huang,et al. Geo-sensor(s) for potential prediction of earthquakes: can earthquake be predicted by abnormal animal phenomena? , 2018, Ann. GIS.
[22] Francisco Martínez-Álvarez,et al. Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure , 2017, Comput. Geosci..
[23] Saba Sehrish,et al. BAT-ANN based earthquake prediction for Pakistan region , 2017, Soft Comput..
[24] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[25] Jakob Uszkoreit,et al. A Decomposable Attention Model for Natural Language Inference , 2016, EMNLP.
[26] Basabi Chakraborty,et al. A review on application of data mining techniques to combat natural disasters , 2016, Ain Shams Engineering Journal.
[27] C. Nomicos,et al. Radon-222: A Potential Short-Term Earthquake Precursor , 2015 .
[28] Francisco Martínez-Álvarez,et al. Detecting precursory patterns to enhance earthquake prediction in Chile , 2015, Comput. Geosci..
[29] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[30] Usman Qamar,et al. A rule-based expert system for earthquake prediction , 2014, Journal of Intelligent Information Systems.
[31] Hossein Pishro-Nik,et al. Introduction to Probability, Statistics, and Random Processes , 2014 .
[32] B. Tucker. Reducing Earthquake Risk , 2013, Science.
[33] Ashraf Ayoub,et al. Fuzzy logic-based attenuation relationships of strong motion earthquake records , 2012, Expert Syst. Appl..
[34] S. Bartels,et al. Medical complications associated with earthquakes , 2012, The Lancet.
[35] Hojjat Adeli,et al. A probabilistic neural network for earthquake magnitude prediction , 2009, Neural Networks.
[36] Hojjat Adeli,et al. Recurrent Neural Network for Approximate Earthquake Time and Location Prediction Using Multiple Seismicity Indicators , 2009, Comput. Aided Civ. Infrastructure Eng..
[37] ASHIF PANAKKAT,et al. Neural Network Models for Earthquake Magnitude Prediction Using Multiple seismicity Indicators , 2007, Int. J. Neural Syst..
[38] C. Willmott,et al. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance , 2005 .
[39] Sergey Pulinets,et al. Ionospheric Precursors of Earthquakes; Recent Advances in Theory and Practical Applications , 2004 .
[40] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[41] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[42] Charles F. Richter,et al. Earthquake magnitude, intensity, energy, and acceleration , 1942 .
[43] Mufti Mahmud,et al. Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction , 2021, IEEE Access.
[44] Khawaja M. Asim,et al. Earthquake magnitude prediction in Hindukush region using machine learning techniques , 2016, Natural Hazards.
[45] Jason K. Levy,et al. Hydrogeological and Gasgeochemical Earthquake Precursors – A Review for Application , 2005 .
[46] D. Blundell. Earthquake risk , 1977, Nature.