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Publications and Projects

Journal

  1. Anushka Joshi, Balasubramanian Raman, and C Krishna Mohan, An Integrated Approach for Prediction of Magnitude using Deep Learning Techniques, Neural Computing and Applications, 2024.

  2. Anushka Joshi, Balasubramanian Raman, C Krishna Mohan, and Linga Reddy Cenkeramaddi, A new machine learning approach for estimating shear wave velocity profile using borelog data, Soil Dynamics and Earthquake Engineering,177, 108424, 2023.

  3. Anushka Joshi, Chalavadi Vishnu, C Krishna Mohan, and Balasubramanian Raman, Application of XGBoost model for early prediction of earthquake magnitude from waveform data, Journal of Earth System Science, 2023, 10.1007/s12040-023-02210-1.

  4. Anushka Joshi, Balasubramanian Raman, C Krishna Mohan, and Linga Reddy Cenkeramaddi, Application of a New Machine Learning Model to Improve Earthquake Ground Motion Predictions, Natural Hazards, 2023, https://doi.org/10.1007/s11069-023-06230-4.

  5. Anushka Joshi, Chalavadi Vishnu, C Krishna Mohan, Early detection of earthquake magnitude based on stacked ensemble model, Journal of Asian Earth Sciences: X, Volume 8, 2022, 100122, ISSN 2590-0560, https://doi.org/10.1016/j.jaesx.2022.100122.

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Conference

  1. Anushka Joshi, Sateesh Kumar Peddoju & Mohit Pandey, Simulated Annealing Algorithm for Subsurface Shear Wave Velocity Investigation Using Ground Vibration Data, 2021, 23-38. 10.1007/978-981-15-9984-2_3. 

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Workshops

  1. Anushka Joshi, Balasubramanian Raman, Prediction of Peak Ground Acceleration Using Machine Learning Technique, 2023, Earth sciences in India: Challenges and Emerging Trends (ESICET-2023).

  2. Anushka Joshi, Balasubramanian Raman, Magnitude prediction in Earthquake Early Warning System using Long Short Term Memory (LSTM) deep learning model, 2024, National Conference on Geosciences For Sustainable World. (Won best e-poster award)

Project

  1. Anushka Joshi (Team Lead), Chalavadi Vishnu, C Krishna Mohan (Mentor), Machine Learning approach for earthquake resistance design criteria: Development of Attenuation relation for peak ground acceleration, 2022, IIT Hyderabad.

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