Search Results for author: J. Senthilnath

Found 6 papers, 1 papers with code

Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion

no code implementations22 Apr 2022 Mahindra Rautela, Armin Huber, J. Senthilnath, S. Gopalakrishnan

In this work, ultrasonic guided waves and a dual-branch version of convolutional neural networks are used to solve two different but related inverse problems, i. e., finding layup sequence type and identifying material properties.


Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations

no code implementations20 Apr 2022 Mahindra Rautela, J. Senthilnath, Ernesto Monaco, S. Gopalakrishnan

In this paper, we have proposed two different unsupervised-feature learning approaches where the algorithms are trained only on the baseline scenarios to learn the distribution of baseline signals.

Anomaly Detection Dimensionality Reduction +1

Robust Consensus of Higher-Order Multi-Agent Systems With Attrition and Inclusion of Agents and Switching Topologies

no code implementations13 Feb 2022 Jinraj V Pushpangathan, Harikumar Kandath, Rajdeep Dutta, Rajarshi Bardhan, J. Senthilnath

To solve this RAI consensus problem, first, the sufficient condition for the existence of the RAIDD protocol is obtained using the $\nu$-gap metric-based simultaneous stabilization approach.

Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation

no code implementations14 Jan 2022 Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee-Keong Kwoh

We then introduce a dynamic transformer encoder (DTE) to capture user-specific inter-item relationships among item candidates by seamlessly accommodating the learned latent user intentions via IDM.


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