| Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks M Rautela, S Gopalakrishnan Expert Systems with Applications 167, 114189, 2021 | 127 | 2021 |
| Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning M Rautela, J Senthilnath, J Moll, S Gopalakrishnan Ultrasonics 115, 106451, 2021 | 85 | 2021 |
| Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations M Rautela, J Senthilnath, E Monaco, S Gopalakrishnan Composite Structures 291, 115579, 2022 | 30 | 2022 |
| Ultrasonic guided waves based identification of elastic properties using 1d-convolutional neural networks M Rautela, S Gopalakrishnan, K Gopalakrishnan, Y Deng 2020 IEEE International Conference on Prognostics and Health Management …, 2020 | 23 | 2020 |
| Electromechanical admittance based integrated health monitoring of adhesive bonded beams using surface bonded piezoelectric transducers M Rautela, CR Bijudas International Journal of Adhesion and Adhesives 94, 84-98, 2019 | 22 | 2019 |
| Deep Learning frameworks for wave propagation-based damage detection in 1D-waveguides M Rautela, S Gopalakrishnan 11th International Symposium on NDT in Aerospace, Nov 2019, Paris-Saclay …, 2019 | 16 | 2019 |
| Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion M Rautela, A Huber, J Senthilnath, S Gopalakrishnan Mechanics of Advanced Materials and Structures 29 (27), 6595-6611, 2022 | 15 | 2022 |
| Deep Learning Based Identification of Elastic Properties Using Ultrasonic Guided Waves K Gopalakrishnan, M Rautela, Y Deng Proceedings of the European Workshop on Structural Health Monitoring …, 2020 | 13 | 2020 |
| Temperature compensation for guided waves using convolutional denoising autoencoders M Rautela, S Jayavelu, J Moll, S Gopalakrishnan Health monitoring of structural and biological systems XV 11593, 316-326, 2021 | 9 | 2021 |
| Delamination detection in aerospace composite panels using convolutional autoencoders M Rautela, E Monaco, S Gopalakrishnan Health monitoring of structural and biological systems XV 11593, 292-301, 2021 | 6 | 2021 |
| Simulation of guided waves for structural health monitoring using physics-informed neural networks M Rautela, M Raut, S Gopalakrishnan Proceedings of International Workshop on Structural Health Monitoring (IWSHM), 2022 | 4* | 2022 |
| Towards deep generation of guided wave representations for composite materials M Rautela, J Senthilnath, A Huber, S Gopalakrishnan IEEE Transactions on Artificial Intelligence, 2022 | 3 | 2022 |
| Simulation of waves propagation into composites thin shells by FEM methodologies for training of deep neural networks aimed at damage reconstruction E Monaco, ND Boffa, F Ricci, M Rautela, D Passato, M Cinque Health Monitoring of Structural and Biological Systems XV 11593, 302-315, 2021 | 3 | 2021 |
| Real-time rapid leakage estimation for deep space habitats using exponentially-weighted adaptively-refined search M Rautela, M Mirfarah, CE Silva, S Dyke, A Maghareh, S Gopalakrishnan Acta Astronautica 203, 385-391, 2023 | 2 | 2023 |
| Deep generative models for unsupervised delamination detection using guided waves M Rautela, A Maghareh, S Dyke, S Gopalakrishnan Proceedings of 8th World Conference on Structural Control and Monitoring …, 2023 | 1 | 2023 |
| A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators M Rautela, A Williams, A Scheinker | | 2024 |
| Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results E Monaco, M Rautela, S Gopalakrishnan, F Ricci Progress in Aerospace Sciences 146, 100994, 2024 | | 2024 |
| Bayesian optimized physics-informed neural network for estimating wave propagation velocities M Rautela, S Gopalakrishnan, J Senthilnath arXiv preprint arXiv:2312.14064, 2023 | | 2023 |
| [Thesis] Hybrid Physics-Data Driven Models for the Solution of Mechanics Based Inverse Problems M Rautela Indian Institute of Science, 2023 | | 2023 |
| [Thesis] Electromechanical admittance based integrated health monitoring of adhesively bonded beams M Rautela Indian Institute of Space Science and Technology, 2018 | | 2018 |
S. GopalakrishnanProfessor, Department of Aerospace Engineering, Indian Institute of ScienceEmail verificata su iisc.ac.in
