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Browsing by Author Pasari, Sumanta

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Showing results 35 to 53 of 53 < previous 
Issue DateTitleAuthor(s)
2022A review of empirical orthogonal function (EOF) with an emphasis on the co-seismic crustal deformation analysisPasari, Sumanta
2020-09Spatial distribution of earthquake potential along the Himalayan arcPasari, Sumanta
2022-10Spatial distribution of seismic cycle progression in northeast India and Bangladesh regions inferred from natural time analysisPasari, Sumanta
2022Statistical Analysis and Forecasting of Wind SpeedPasari, Sumanta
2020-07Statistical Modeling of Solar EnergyPasari, Sumanta
2018Stochastic earthquake interevent time modeling from exponentiated Weibull distributionsPasari, Sumanta
2020-04Stochastic Modeling of Earthquake Interevent Counts (Natural Times) in Northwest Himalaya and Adjoining RegionsPasari, Sumanta
2018-05Stochastic modelling of earthquake interoccurrence times in Northwest Himalaya and adjoining regionsPasari, Sumanta
2021A Study of After-Effects of Kerala Floods Using VIIRS-OLS Nighttime Light DataPasari, Sumanta
2021A synoptic view of the natural time distribution and contemporary earthquake hazards in Sumatra, IndonesiaPasari, Sumanta
2022-02Synthetic Aperture Radar Interferometry to Measure Earthquake-Related Deformation: A Case Study from NepalPasari, Sumanta
2021Tectonic deformation along the Delhi-Haridwar Ridge revealed by InSAR observations: Preliminary resultsPasari, Sumanta
2014-03Three-parameter generalized exponential distribution in earthquake recurrence interval estimationPasari, Sumanta
2020-07Time Series Auto-Regressive Integrated Moving Average Model for Renewable Energy ForecastingPasari, Sumanta
2021Use of Shannon Information Entropy in Earthquake NowcastingPasari, Sumanta
2022Use of Spatio-temporal Features for Earthquake Forecasting of imbalanced DataPasari, Sumanta
2020-07Wind Energy Prediction Using Artificial Neural NetworksPasari, Sumanta
2023Wind Speed Prediction Using Sentinel-1 OCN ProductsPasari, Sumanta
2022Wind Speed Prediction with Spatio Temporal Correlation using Convolutional and Spiking Neural NetworksPasari, Sumanta