Debarshi Sen

发表

Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes

Richard G. Baraniuk, Anand G. Dabak, Ali Mousavi, 2019, Mechanical Systems and Signal Processing.

Data-Driven Approach to Structural Health Monitoring Using Statistical Learning Algorithms

Satish Nagarajaiah, Debarshi Sen, Satish Nagarajaiah, 2018 .

On the Pareto optimality of variance reduction simulation techniques in structural reliability

B. Bhattacharya, Debarshi Sen, 2015 .

Active structural control framework using policy-gradient reinforcement learning

S. Pakzad, Debarshi Sen, Soheil Sadeghi Eshkevari, 2023, Engineering Structures.

Reliability of bridge deck subject to random vehicular and seismic loads through subset simulation

Baidurya Bhattacharya, Debarshi Sen, C. S. Manohar, 2012 .

Applications of Statistical Learning and Stochastic Filtering for Damage Detection in Structural Systems

Debarshi Sen, Debarshi Sen, 2018 .

Bayesian estimation of acoustic emissions source in plate structures using particle‐based stochastic filtering

Satish Nagarajaiah, Kalil Erazo, Debarshi Sen, 2017 .

Vibration-based structural health monitoring under changing environmental conditions using Kalman filtering

Kalil Erazo, Debarshi Sen, Satish Nagarajaiah, 2019, Mechanical Systems and Signal Processing.

On the effectiveness of principal component analysis for decoupling structural damage and environmental effects in bridge structures

Satish Nagarajaiah, Kalil Erazo, Wei Zhang, 2019, Journal of Sound and Vibration.

Harnessing sparsity in lamb wave-based damage detection for beams

Satish Nagarajaiah, Debarshi Sen, S. Gopalakrishnan, 2017 .

Apparent-weakening by adaptive passive stiffness shaping along the height of multistory building using negative stiffness devices and dampers for seismic protection

Satish Nagarajaiah, Debarshi Sen, Satish Nagarajaiah, 2020 .

Sparsity-based approaches for damage detection in plates

Satish Nagarajaiah, Richard G. Baraniuk, Debarshi Sen, 2019, Mechanical Systems and Signal Processing.