All Stories

  1. Possibility of tsunami early-warning from post-seismic ionospheric disturbance for 2 July, 2013, Mw = 6.1 Indonesia’s Bireun earthquake: Two-dimensional principal component analysis
  2. Possibility for identifying the new subduction zone from ionospheric anomaly for a deep earthquake (625.9 km) on 14 August 2012, M = 7.7 near Poronaysk, Russia: a two-dimensional principal component analysis
  3. Ionospheric precursor of 2008 China Wenchuan earthquake using two-dimensional principal component analysis
  4. Rainfall-triggered ordinary earthquakes in Taiwan: a statistical analysis
  5. Possible reason of ionospheric anomaly post the April 20, 2013, Mw = 6.6 China' Lushan earthquake: Applying two-dimensional principal component analysis (2DPCA) to two-dimensional total electron content (TEC)
  6. Ionospheric precursor for a deep earthquake (∼378 km) near Papua New Guinea occurred on 7 July 2013,Mw= 7.2 in the environment of geomagnetic storm using two-dimensional principal component analysis
  7. Ionospheric Anomaly after the 11 April, 2012, Mw =8.6 Indonesia’ Sumatra Earthquake Using Two-Dimensional Principal Component Analysis (2DPCA)
  8. Ionospheric Anomaly due to the volcanic eruption in Colima, Mexico, 06 January 2013: Two-Dimensional Principal Component Analysis
  9. Ionospheric anomaly related to M=6.6, 26 August 2012, Tobelo earthquake near Indonesia: two-dimensional principal component analysis
  10. Ionospheric anomaly at the occurring time of China’s May 12, 2008, M = 7.9 Wenchuan Earthquake using nonlinear principal component analyses and image decoding
  11. Taiwan’ Chi-Chi earthquake precursor detection using nonlinear principal component analysis to multi-channel total electron content records
  12. Ionospheric Anomalies Related to the (M = 7.3), August 27, 2012, Puerto Earthquake, (M = 6.8), August 30, 2012 Jan Mayen Island Earthquake, and (M = 7.6), August 31, 2012, Philippines Earthquake: Two-Dimensional Principal Component Analysis
  13. An empirical correlation between the occurrence of earthquakes and typhoons in Taiwan: a statistical multivariate approach
  14. Ionospheric total electron content anomalies due to Typhoon Nakri on 29 May 2008: A nonlinear principal component analysis
  15. Study of ionospheric anomalies due to impact of typhoon using Principal Component Analysis and image processing
  16. Ionospheric total electron content seismo-perturbation after Japan’s March 11, 2011, M=9.0 Tohoku earthquake under a geomagnetic storm; a nonlinear principal component analysis
  17. Nonlinear principal component analysis in the detection of ionospheric electron content anomalies related to a deep earthquake (>300 km, M 7.0) on 1 January 2012, Izu Islands, Japan
  18. Potential reasons for ionospheric anomalies immediately prior to China's Wenchuan earthquake on 12 May 2008 detected by nonlinear principal component analysis
  19. Is it possible to detect earlier ionospheric precursors before large earthquakes using principal component analysis (PCA)?
  20. Spatial pattern of a seismo-ionospheric signature using principal component analysis
  21. Is it possible to trace an impending earthquake's occurrence from seismo-ionospheric disturbance using principal component analysis? A study of Japan's Iwate–Miyagi Nairiku earthquake on 13 June 2008
  22. Use of principal component analysis in the identification of the spatial pattern of an ionospheric total electron content anomalies after China’s May 12, 2008, M=7.9 Wenchuan earthquake
  23. Latitude-Time Total Electron Content Anomalies as Precursors to Japan's Large Earthquakes Associated with Principal Component Analysis
  24. Principal component analysis method in the detection of total electron content anomalies in the 24 hrs prior to large earthquakes
  25. Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis
  26. Ionospheric Total Electron Content (TEC) Anomalies Associated with Earthquakes through Karhunen-Loéve Transform (KLT)