52 citations as recorded by crossref.

1. Discrimination of earthquakes and quarries in the Edirne district (Turkey) and its vicinity by using a linear discriminate function method and artificial neural networks A. Tan et al.
2. Microseismic Event Recognition and Transfer Learning Based on Convolutional Neural Network and Attention Mechanisms S. Jin et al.
3. Identification of earthquake types based on seismogram data D. Hardani et al.
4. Automatic classification of seismic events within a regional seismograph network J. Kortström et al.
5. Rapid classification of local seismic events using machine learning L. Jia et al.
6. A novel approach for classification of earthquake ground-motion records S. Yaghmaei-Sabegh
7. Discrimination of quarry blasts from earthquakes in Northern and Central Egypt using linear and quadratic discriminant functions I. Korrat et al.
8. İSTANBUL AVRUPA YAKASINDA MEYDANA GELEN SİSMİK OLAYLARIN KAYNAK TÜRLERİNİN BELİRLENMESİ E. YAVUZ
9. Single Layer Recurrent Neural Network for detection of local swarm-like earthquakes—the application J. Doubravová & J. Horálek
10. Decontamination of earthquake catalog from quarry blast events in northern Egypt A. Badawy et al.
11. An Optimized Learning Model Augment Analyst Decisions for Seismic Source Discrimination M. Abdalzaher et al.
12. Discrimination between icequakes and earthquakes in southern Alaska: an exploration of waveform features using Random Forest algorithm A. Kharita et al.
13. Exploring the unsupervised classification of seismic events of Cotopaxi volcano A. Duque et al.
14. New Heuristics Based on Wavelet Analysis of a Single Sensor Record for Earthquake and Explosion Detection K. Silkin
15. Stochastic modeling and simulation of ground motions using complex discrete wavelet transform and Gaussian mixture model R. Sharbati et al.
16. Support Vector Machine Classification of Seismic Events in the Tianshan Orogenic Belt L. Tang et al.
17. Discrimination of Mine Seismic Events and Blasts Using the Fisher Classifier, Naive Bayesian Classifier and Logistic Regression L. Dong et al.
18. Seismic event detection in urban Singapore using a nodal array and frequency domain array detector: earthquakes, blasts and thunderquakes K. Lythgoe et al.
19. Application of artificial intelligence technology in the study of anthropogenic earthquakes: a review J. Li et al.
20. Use of artificial neural networks for classification of noisy seismic signals K. Kislov & V. Gravirov
21. Seismic Signal Discrimination of Earthquakes and Quarry Blasts in North-East Italy Using Deep Neural Networks D. Ertuncay et al.
22. Classification of Seismic Events and Quarry Blasts Using Singular Value Decomposition and Support Vector Machine X. Li et al.
23. Behavioral and Physiological Neural Network Analyses: A Common Pathway Toward Pattern Recognition and Prediction C. Ninness et al.
24. Application of real time recurrent neural network for detection of small natural earthquakes in Poland J. Wiszniowski et al.
25. Waveform features and automatic discrimination of deep and shallow microearthquakes in the Changning shale gas field, Southern Sichuan Basin, China J. Liu et al.
26. Ground motion prediction at gravitational wave observatories using archival seismic data N. Mukund et al.
27. Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression S. Mousavi et al.
28. Machine Learning Based Earthquakes-Explosion Discrimination for Sea of Galilee Seismic Events of July 2018 Y. Bregman et al.
29. Discriminant models of blasts and seismic events in mine seismology L. Dong et al.
30. Comparative Performance Assessments of Machine-Learning Methods for Artificial Seismic Sources Discrimination M. Abdalzaher et al.
31. Toward False Event Detection and Quarry Blast versus Earthquake Discrimination in an Operational Setting Using Semiautomated Machine Learning A. Renouard et al.
32. Characteristics of Ground Motion Generated by Wind Interaction With Trees, Structures, and Other Surface Obstacles C. Johnson et al.
33. Multiview Kernels for Low-Dimensional Modeling of Seismic Events O. Lindenbaum et al.
34. Seismic Discrimination between Earthquakes and Explosions Using Support Vector Machine S. Kim et al.
35. Identifying the source types of the seismic events using discriminant functions and tree-based machine learning algorithms at Soma Region, Turkey E. Yavuz et al.
36. Magnitude Type Conversion Models for Earthquakes in Turkey and Its Vicinity with Machine Learning Algorithms K. Coban & N. Sayil
37. Improving microseismic event and quarry blast classification using Artificial Neural Networks based on Principal Component Analysis X. Shang et al.
38. Discrimination of quarry blasts from tectonic events in the Armutlu Peninsula, Turkey E. Yavuz et al.
39. Array Based Earthquakes-Explosion Discrimination Using Diffusion Maps Y. Bregman et al.
40. Systematic identification of external influences in multi-year microseismic recordings using convolutional neural networks M. Meyer et al.
41. On Problems of Detecting Blasts in Earthquake Catalogs: Case Study of Turkey and Iran V. Zhuravlev et al.
42. Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution R. Sharbati et al.
43. Application of <i>k</i>-means and Gaussian mixture model for classification of seismic activities in Istanbul H. Kuyuk et al.
44. Classifying seismic waveforms from scratch: a case study in the alpine environment C. Hammer et al.
45. A fuzzy expert system for automatic seismic signal classification E. Ait Laasri et al.
46. A Waveform Image Method for Discriminating Micro-Seismic Events and Blasts in Underground Mines H. Wei et al.
47. Earthquake-explosion discrimination using diffusion maps N. Rabin et al.
48. Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models Y. Pu et al.
49. Clustering seismic activities using linear and nonlinear discriminant analysis H. Kuyuk et al.
50. ANQDS: a MATLAB based graphical user interface developed for discrimination of the natural and artificial seismic events Ö. Kafadar et al.
51. Detecting Seismic Anomalies in Outgoing Long-Wave Radiation Data X. Kong et al.
52. Real-Time Classification of Earthquake using Deep Learning H. Kuyuk & O. Susumu