Tapas Tripura

发表

Wavelet neural operator: a neural operator for parametric partial differential equations

S. Chakraborty, Tapas Tripura, 2022, ArXiv.

First-Order Eigen-Perturbation Techniques for Real-Time Damage Detection of Vibrating Systems: Theory and Applications

Vikram Pakrashi, Budhaditya Hazra, Tapas Tripura, 2019, Applied Mechanics Reviews.

Learning governing physics from output only measurements

S. Chakraborty, Tapas Tripura, 2022, 2208.05609.

A sparse Bayesian framework for discovering interpretable nonlinear stochastic dynamical systems with Gaussian white noise

S. Chakraborty, Tapas Tripura, 2023, Mechanical Systems and Signal Processing.

Model-agnostic stochastic model predictive control

S. Chakraborty, Tapas Tripura, 2022, 2211.13012.

MAntRA: A framework for model agnostic reliability analysis

S. Chakraborty, Tapas Tripura, Yogesh Chandrakant Mathpati, 2022, Reliab. Eng. Syst. Saf..

Wavelet Neural Operator for solving parametric partial differential equations in computational mechanics problems

S. Chakraborty, Tapas Tripura, 2023, Computer Methods in Applied Mechanics and Engineering.

Multi-fidelity wavelet neural operator with application to uncertainty quantification

S. Chakraborty, Tapas Tripura, A. Thakur, 2022, ArXiv.

Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems

S. Adhikari, S. Chakraborty, Tapas Tripura, 2022, Computers & Structures.

Real time structural modal identification using recursive canonical correlation analysis and application towards online structural damage detection

Vikram Pakrashi, Budhaditya Hazra, Tapas Tripura, 2020 .

A change of measure enhanced near exact Euler Maruyama scheme for the solution to nonlinear stochastic dynamical systems

B. Hazra, S. Chakraborty, M. Imran, 2021, Journal of Engineering Mechanics.

Robust linear and nonlinear structural damage detection using recursive canonical correlation analysis

Vikram Pakrashi, Budhaditya Hazra, Tapas Tripura, 2020 .

Real-time damage detection of degrading systems

Vikram Pakrashi, Budhaditya Hazra, Tapas Tripura, 2020, Structural Health Monitoring.

Fault detection and isolation using probabilistic wavelet neural operator auto-encoder with application to dynamic processes

H. Kodamana, S. Chakraborty, Jyoti Rani, 2023, Process Safety and Environmental Protection.

Physics informed WNO

S. Chakraborty, Tapas Tripura, N. Navaneeth, 2023, Computer Methods in Applied Mechanics and Engineering.

Discovering interpretable Lagrangian of dynamical systems from data

S. Chakraborty, Tapas Tripura, 2023, ArXiv.

A wavelet neural operator based elastography for localization and quantification of tumors

Sitikantha Roy, Tapas Tripura, Abhilash Awasthi, 2023, Comput. Methods Programs Biomed..

An Ito–Taylor weak 3.0 method for stochastic dynamics of nonlinear systems

Budhaditya Hazra, Tapas Tripura, Ankush Gogoi, 2020 .

A Bayesian Framework for learning governing Partial Differential Equation from Data

S. Chakraborty, Tapas Tripura, R. Nayek, 2023, Physica A: Statistical Mechanics and its Applications.

A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data

Tapas Tripura, Souvik Chakraborty, 2023, ArXiv.

Discovering stochastic partial differential equations from limited data using variational Bayes inference

S. Chakraborty, Tapas Tripura, Yogesh Chandrakant Mathpati, 2023, Computer Methods in Applied Mechanics and Engineering.

Robust model agnostic predictive control algorithm for randomly excited dynamical systems

Tapas Tripura, Souvik Chakraborty, 2023, Probabilistic Engineering Mechanics.

Deep neural operators can predict the real-time response of floating offshore structures under irregular waves

G. Karniadakis, S. Goswami, S. Chakraborty, 2023, Computers & Structures.

A foundational neural operator that continuously learns without forgetting

Tapas Tripura, Souvik Chakraborty, 2023, ArXiv.

Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data

H. Kodamana, Tapas Tripura, Souvik Chakraborty, 2024, ArXiv.