List of works - Nishtha Srivastava

A hybrid approach for declustering of earthquake catalogs

scientific article published on 15 May 2023

A study on small magnitude seismic phase identification using 1D deep residual neural network

scientific article published in December 2022

A study on the effect of input data length on a deep-learning-based magnitude classifier

scientific article published on 10 November 2022

Amplitude and inter-event time statistics for the island volcanoes Stromboli, Mount Etna, Yasur, and Whakaari

scientific article published on 11 August 2023

Analysis of shear-wave splitting to infer the seismic anisotropy of the lithosphere-asthenosphere system – inversion ambiguities, automatization, and machine-learning approaches

scientific article published on 15 May 2023

Automated Seismo-Volcanic Event Detection Applied to Stromboli (Italy)

scientific article published on 16 March 2022

CREIME -- A Convolutional Recurrent model for Earthquake Identification and Magnitude Estimation

preprint article published on 20 April 2022

CREIME—A Convolutional Recurrent Model for Earthquake Identification and Magnitude Estimation

scientific article published in July 2022

Earthquake induced liquefaction hazard, probability and risk assessment in the city of Kolkata, India: its historical perspective and deterministic scenario

scholarly article

Earthquake monitoring using deep learning with a case study of the Kahramanmaras Turkey earthquake aftershock sequence

scientific article published on 9 February 2024

Earthquake scenario in West Bengal with emphasis on seismic hazard microzonation of the city of Kolkata, India

scientific article published on 25 September 2014

Exploring a CNN model for earthquake magnitude estimation using HR-GNSS data

scholarly article

Feasibility of Deep Learning in Shear Wave Splitting analysis using Synthetic-Data Training and Waveform Deconvolution

scientific article published on 23 March 2024

PolarCAP -- A Deep Learning approach for First Motion Polarity Classification of Earthquake Waveforms

preprint article published on 19 May 2022

PolarCAP – A deep learning approach for first motion polarity classification of earthquake waveforms

scientific article published in December 2022

Real time Earthquake detection using Deep Learning

scientific article published on 9 May 2023

SAIPy: A Python Package for single station Earthquake Monitoring using Deep Learning

scientific article published on 11 March 2024

Shear Wave Splitting Analysis using Deep Learning (SWSNet)

preprint article published on 23 June 2023

Shear Wave Splitting Analysis using Deep Learning (SWSNet)

preprint article published on 16 June 2023

Testing the Potential of Deep Learning in Earthquake Forecasting

scientific article published on 8 March 2024

Volcano-seismic event classification using wavelet scattering transforms

scientific article published on 15 May 2023

When linear inversion fails: Neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice

scientific article published in December 2024

List of works by Nishtha Srivastava

A hybrid approach for declustering of earthquake catalogs

A study on small magnitude seismic phase identification using 1D deep residual neural network

A study on the effect of input data length on a deep-learning-based magnitude classifier

Amplitude and inter-event time statistics for the island volcanoes Stromboli, Mount Etna, Yasur, and Whakaari

Analysis of shear-wave splitting to infer the seismic anisotropy of the lithosphere-asthenosphere system – inversion ambiguities, automatization, and machine-learning approaches

Automated Seismo-Volcanic Event Detection Applied to Stromboli (Italy)

CREIME -- A Convolutional Recurrent model for Earthquake Identification and Magnitude Estimation

CREIME—A Convolutional Recurrent Model for Earthquake Identification and Magnitude Estimation

Earthquake induced liquefaction hazard, probability and risk assessment in the city of Kolkata, India: its historical perspective and deterministic scenario

Earthquake monitoring using deep learning with a case study of the Kahramanmaras Turkey earthquake aftershock sequence

Earthquake scenario in West Bengal with emphasis on seismic hazard microzonation of the city of Kolkata, India

Exploring a CNN model for earthquake magnitude estimation using HR-GNSS data

Feasibility of Deep Learning in Shear Wave Splitting analysis using Synthetic-Data Training and Waveform Deconvolution

PolarCAP -- A Deep Learning approach for First Motion Polarity Classification of Earthquake Waveforms

PolarCAP – A deep learning approach for first motion polarity classification of earthquake waveforms

Real time Earthquake detection using Deep Learning

SAIPy: A Python Package for single station Earthquake Monitoring using Deep Learning

Shear Wave Splitting Analysis using Deep Learning (SWSNet)

Shear Wave Splitting Analysis using Deep Learning (SWSNet)

Testing the Potential of Deep Learning in Earthquake Forecasting

Volcano-seismic event classification using wavelet scattering transforms

When linear inversion fails: Neural-network optimization for sparse-ray travel-time tomography of a volcanic edifice