50 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. 10.1007/s11600-020-00519-9
2. Microseismic Event Recognition and Transfer Learning Based on Convolutional Neural Network and Attention Mechanisms S. Jin et al. 10.1007/s11770-024-1058-y
3. Identification of earthquake types based on seismogram data D. Hardani et al. 10.1088/1757-899X/821/1/012024
4. Automatic classification of seismic events within a regional seismograph network J. Kortström et al. 10.1016/j.cageo.2015.11.006
5. Rapid classification of local seismic events using machine learning L. Jia et al. 10.1007/s10950-022-10109-5
6. A novel approach for classification of earthquake ground-motion records S. Yaghmaei-Sabegh 10.1007/s10950-017-9642-8
7. Discrimination of quarry blasts from earthquakes in Northern and Central Egypt using linear and quadratic discriminant functions I. Korrat et al. 10.1007/s10950-023-10156-6
8. İSTANBUL AVRUPA YAKASINDA MEYDANA GELEN SİSMİK OLAYLARIN KAYNAK TÜRLERİNİN BELİRLENMESİ E. YAVUZ 10.21923/jesd.1177051
9. Single Layer Recurrent Neural Network for detection of local swarm-like earthquakes—the application J. Doubravová & J. Horálek 10.1093/gji/ggz321
10. Decontamination of earthquake catalog from quarry blast events in northern Egypt A. Badawy et al. 10.1007/s10950-019-09873-8
11. An Optimized Learning Model Augment Analyst Decisions for Seismic Source Discrimination M. Abdalzaher et al. 10.1109/TGRS.2022.3208097
12. Discrimination between icequakes and earthquakes in southern Alaska: an exploration of waveform features using Random Forest algorithm A. Kharita et al. 10.1093/gji/ggae106
13. Exploring the unsupervised classification of seismic events of Cotopaxi volcano A. Duque et al. 10.1016/j.jvolgeores.2020.107009
14. New Heuristics Based on Wavelet Analysis of a Single Sensor Record for Earthquake and Explosion Detection K. Silkin 10.3103/S0747923922050103
15. Stochastic modeling and simulation of ground motions using complex discrete wavelet transform and Gaussian mixture model R. Sharbati et al. 10.1016/j.soildyn.2018.07.003
16. Support Vector Machine Classification of Seismic Events in the Tianshan Orogenic Belt L. Tang et al. 10.1029/2019JB018132
17. Discrimination of Mine Seismic Events and Blasts Using the Fisher Classifier, Naive Bayesian Classifier and Logistic Regression L. Dong et al. 10.1007/s00603-015-0733-y
18. Seismic event detection in urban Singapore using a nodal array and frequency domain array detector: earthquakes, blasts and thunderquakes K. Lythgoe et al. 10.1093/gji/ggab135
19. Use of artificial neural networks for classification of noisy seismic signals K. Kislov & V. Gravirov 10.3103/S0747923917010054
20. Seismic Signal Discrimination of Earthquakes and Quarry Blasts in North-East Italy Using Deep Neural Networks D. Ertuncay et al. 10.1007/s00024-024-03440-0
21. Classification of Seismic Events and Quarry Blasts Using Singular Value Decomposition and Support Vector Machine X. Li et al. 10.1520/JTE20160136
22. Behavioral and Physiological Neural Network Analyses: A Common Pathway Toward Pattern Recognition and Prediction C. Ninness et al. 10.1007/BF03395822
23. Application of real time recurrent neural network for detection of small natural earthquakes in Poland J. Wiszniowski et al. 10.2478/s11600-013-0140-2
24. Ground motion prediction at gravitational wave observatories using archival seismic data N. Mukund et al. 10.1088/1361-6382/ab0d2c
25. Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression S. Mousavi et al. 10.1093/gji/ggw258
26. Machine Learning Based Earthquakes-Explosion Discrimination for Sea of Galilee Seismic Events of July 2018 Y. Bregman et al. 10.1007/s00024-022-03129-2
27. Discriminant models of blasts and seismic events in mine seismology L. Dong et al. 10.1016/j.ijrmms.2016.04.021
28. Comparative Performance Assessments of Machine-Learning Methods for Artificial Seismic Sources Discrimination M. Abdalzaher et al. 10.1109/ACCESS.2021.3076119
29. Toward False Event Detection and Quarry Blast versus Earthquake Discrimination in an Operational Setting Using Semiautomated Machine Learning A. Renouard et al. 10.1785/0220200305
30. Characteristics of Ground Motion Generated by Wind Interaction With Trees, Structures, and Other Surface Obstacles C. Johnson et al. 10.1029/2018JB017151
31. Multiview Kernels for Low-Dimensional Modeling of Seismic Events O. Lindenbaum et al. 10.1109/TGRS.2018.2797537
32. Seismic Discrimination between Earthquakes and Explosions Using Support Vector Machine S. Kim et al. 10.3390/s20071879
33. 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. 10.1007/s12665-023-10946-8
34. Magnitude Type Conversion Models for Earthquakes in Turkey and Its Vicinity with Machine Learning Algorithms K. Coban & N. Sayil 10.1080/13632469.2022.2120114
35. Improving microseismic event and quarry blast classification using Artificial Neural Networks based on Principal Component Analysis X. Shang et al. 10.1016/j.soildyn.2017.05.008
36. Discrimination of quarry blasts from tectonic events in the Armutlu Peninsula, Turkey E. Yavuz et al. 10.1007/s10950-018-9793-2
37. Array Based Earthquakes-Explosion Discrimination Using Diffusion Maps Y. Bregman et al. 10.1007/s00024-020-02452-w
38. Systematic identification of external influences in multi-year microseismic recordings using convolutional neural networks M. Meyer et al. 10.5194/esurf-7-171-2019
39. On Problems of Detecting Blasts in Earthquake Catalogs: Case Study of Turkey and Iran V. Zhuravlev et al. 10.3103/S074792392201011X
40. Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution R. Sharbati et al. 10.1080/13632469.2019.1605948
41. Application of <i>k</i>-means and Gaussian mixture model for classification of seismic activities in Istanbul H. Kuyuk et al. 10.5194/npg-19-411-2012
42. Classifying seismic waveforms from scratch: a case study in the alpine environment C. Hammer et al. 10.1093/gji/ggs036
43. A fuzzy expert system for automatic seismic signal classification E. Ait Laasri et al. 10.1016/j.eswa.2014.08.023
44. A Waveform Image Method for Discriminating Micro-Seismic Events and Blasts in Underground Mines H. Wei et al. 10.3390/s20154322
45. Earthquake-explosion discrimination using diffusion maps N. Rabin et al. 10.1093/gji/ggw348
46. Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models Y. Pu et al. 10.1016/j.enggeo.2020.105519
47. Clustering seismic activities using linear and nonlinear discriminant analysis H. Kuyuk et al. 10.1007/s12583-014-0406-x
48. ANQDS: a MATLAB based graphical user interface developed for discrimination of the natural and artificial seismic events Ö. Kafadar et al. 10.1007/s12145-023-01062-z
49. Detecting Seismic Anomalies in Outgoing Long-Wave Radiation Data X. Kong et al. 10.1109/JSTARS.2014.2363473
50. Real-Time Classification of Earthquake using Deep Learning H. Kuyuk & O. Susumu 10.1016/j.procs.2018.10.316