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Priyanka, P., Kumar, P., Dutt, V., Uday, K. V., & Dhanya, J. (2023). Analyzing the Performance of Univariate and Multivariate Machine Learning Models in Soil Movement Prediction: A Comparative Study. IEEE Access, 11, 62368 - 62381. 10.1109/ACCESS.2023.3287851 |
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Raghukanth, S., & Dhanya, J. (2023). Statistical kinematic source models for seismic hazard estimations. International Journal of Advances in Engineering Sciences and Applied Mathematics, 15(1), 37-54. 10.1007/s12572-023-00328-5 |
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Sivasubramonian, J., Sharma, V., Gade, M., & Dhanya, J. (2022). New generalized ANN-based hybrid broadband response spectra generator using physics-based simulations. Natural Hazards, 116(2), 1879-1901. 10.1007/s11069-022-05746-5 |
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Sreejaya, K., Raghukanth, S., & Dhanya, J. (2022). Seismic recurrence parameters for India and adjoined regions. Journal of Seismology, 26(5), 1051-1075. https://doi.org/10.1007/s10950-022-10093-w |
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MARTIN MAI, P., Sivasubramonian, J., Raghukanth, S., & Dhanya, J. (2021). Hybrid broadband ground motion simulations in the Indo-Gangetic basin for great Himalayan earthquake scenarios. Bulletin of Earthquake Engineering, 19, 3319-3348. 10.1007/s10518-021-01094-0 |
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Raghukanth, S., & Dhanya, J. (2020). Probabilistic Fling Hazard Map of India and Adjoined Regions. Journal of Earthquake Engineering, 26(9), 4712-4736. https://doi.org/10.1080/13632469.2020.1838969 |
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Raghukanth, S., & Dhanya, J. (2020). Deterministic tsunami hazard map for India.. Current Science, 119(10), 1641-1651. 10.18520/cs/v119/i10/1641-1651 |
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, P., Gade, M., & Dhanya, J. (2020). A new neural network–based prediction model for Newmark’s sliding displacements. Bulletin of Engineering Geology and the Environment, 80(1), 385-397. 10.1007/s10064-020-01923-7 |
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Raghukanth, S., & Dhanya, J. (2020). Implication of source models on tsunami wave simulations for 2004 (Mw 9.2) Sumatra earthquake. Natural Hazards, 104, 279-304. https://doi.org/10.1007/s11069-020-04168-5 |
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Raghukanth, S., & Dhanya, J. (2020). Non-linear principal component analysis of response spectra. Journal of Earthquake Engineering, 26(4), 2148-2167. https://doi.org/10.1080/13632469.2020.1773352 |
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MARTIN MAI, P., Sivasubramonian, J., Raghukanth, S., & Dhanya, J. (2020). 3D seismic wave amplification in the Indo-Gangetic basin from spectral element simulations. Soil Dynamics and Earthquake Engineering, 129, 105923. https://doi.org/10.1016/j.soildyn.2019.105923 |
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Raghukanth, S., & Dhanya, J. (2020). Neural network-based hybrid ground motion prediction equations for Western Himalayas and North-Eastern India. Acta Geophysica, 68, 303-324. 10.1007/s11600-019-00395-y |
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Raghukanth, S., & Dhanya, J. (2020). A non-stationary random field model for earthquake slip. Journal of Seismology, 24(2), 423-441. 10.1007/s10950-019-09899-y |
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Raghukanth, S., & Dhanya, J. (2019). A non-Gaussian random field model for earthquake slip. Journal of Seismology, 23, 889-912. 10.1007/s10950-019-09840-3 |
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Sugumar, S., Raghukanth, S., & Dhanya, J. (2018). 3D crustal velocity model for ground motion simulations in North-East India. Journal of Earthquake Engineering, 25(3), 475-511. 10.1080/13632469.2018.1520760 |
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Raghukanth, S., & Dhanya, J. (2018). Ground motion simulation for earthquakes in sumatran region. Current Science, 114(8), 1709-1720. 10.18520/cs/v114/i08/1709-1720 |
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Raghukanth, S., & Dhanya, J. (2017). Ground motion prediction model using artificial neural network. Pure and Applied Geophysics, 175, 1035-1064. 10.1007/s00024-017-1751-3 |
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Raghukanth, S., & Dhanya, J. (2017). Ground motion prediction model using artificial neural network. Pure and Applied Geophysics, 175, 1035-1064. 10.1007/s00024-017-1751-3 |
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Kavitha, B., Raghukanth, S., & Dhanya, J. (2017). Forecasting of global earthquake energy time series. Advances in Data Science and Adaptive Analysis, 9(4), 1750008. https://doi.org/10.1142/S2424922X17500085 |
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Raghukanth, S., Gade, M., & Dhanya, J. (2016). Ground motion estimation during 25th April 2015 Nepal earthquake. Acta Geodaetica et Geophysica, 52, 69-93. 10.1007/s40328-016-0170-8 |
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