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ORCIDLaya Das
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2020 – today
- 2024
[j12]Laya Das, Blazhe Gjorgiev
, Giovanni Sansavini:
Uncertainty-aware deep learning for monitoring and fault diagnosis from synthetic data. Reliab. Eng. Syst. Saf. 251: 110386 (2024)- 2023
- [j11]Ritu Ranjan, Laya Das, Niket S. Kaisare, Rajagopalan Srinivasan:
A testbed for studying the interactions between human operators and advanced control systems. Comput. Chem. Eng. 178: 108377 (2023) - [j10]Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan:
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing 521: 1-10 (2023) - [j9]Blazhe Gjorgiev, Laya Das, Seline Merkel, Martina Rohrer, Etienne Auger, Giovanni Sansavini:
Simulation-driven deep learning for locating faulty insulators in a power line. Reliab. Eng. Syst. Saf. 231: 108989 (2023) - [i8]Laya Das, Blazhe Gjorgiev, Giovanni Sansavini:
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines. CoRR abs/2303.10954 (2023) - [i7]Laya Das, Sai Munikoti, Mahantesh Halappanavar:
There is more to graphs than meets the eye: Learning universal features with self-supervision. CoRR abs/2305.19871 (2023) - [i6]Laya Das, Blazhe Gjorgiev, Giovanni Sansavini:
Anomaly detection for automated inspection of power line insulators. CoRR abs/2312.11470 (2023) - 2022
- [j8]Venkat Venkatasubramanian, Abhishek Sivaram, Laya Das:
A unified theory of emergent equilibrium phenomena in active and passive matter. Comput. Chem. Eng. 164: 107887 (2022) - [j7]Sai Munikoti, Laya Das, Balasubramaniam Natarajan:
Scalable graph neural network-based framework for identifying critical nodes and links in complex networks. Neurocomputing 468: 211-221 (2022) - [i5]Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan:
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR abs/2205.09968 (2022) - [i4]Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan:
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR abs/2206.07922 (2022) - [i3]Laya Das, Mohammad Hossein Saadat, Blazhe Gjorgiev, Etienne Auger, Giovanni Sansavini:
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime. CoRR abs/2212.11017 (2022) - 2021
- [j6]Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian:
Robust and efficient swarm communication topologies for hostile environments. Swarm Evol. Comput. 62: 100848 (2021) - [c3]Sai Munikoti, Laya Das, Balasubramaniam Natarajan:
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks. SMC 2021: 3245-3251 - 2020
- [j5]Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian:
Hidden representations in deep neural networks: Part 1. Classification problems. Comput. Chem. Eng. 134: 106669 (2020) - [j4]Laya Das, Abhishek Sivaram, Venkat Venkatasubramanian:
Hidden representations in deep neural networks: Part 2. Regression problems. Comput. Chem. Eng. 139: 106895 (2020) - [i2]Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian:
Robust and Efficient Swarm Communication Topologies for Hostile Environments. CoRR abs/2008.09575 (2020) - [i1]Sai Munikoti, Laya Das, Balasubramaniam Natarajan:
Graph neural network based approximation of Node Resiliency in complex networks. CoRR abs/2012.15725 (2020)
2010 – 2019
- 2019
- [j3]Amit Joshi, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan:
A Framework for Efficient Information Aggregation in Smart Grid. IEEE Trans. Ind. Informatics 15(4): 2233-2243 (2019) - [j2]Sai Munikoti, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan:
Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors. IEEE Trans. Ind. Informatics 15(9): 5299-5308 (2019) - 2016
- [j1]Laya Das, Babji Srinivasan, Raghunathan Rengaswamy:
Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance. IEEE Trans. Control. Syst. Technol. 24(3): 1067-1074 (2016) - 2015
- [c2]Laya Das, Babji Srinivasan, Raghunathan Rengaswamy:
On-line performance monitoring of PEM fuel cell using a fast EIS approach. ACC 2015: 1611-1616 - 2014
- [c1]Laya Das, Babji Srinivasan, Raghunathan Rengaswamy:
Data driven approach for performance assessment of linear and nonlinear Kalman filters. ACC 2014: 4127-4132
Coauthor Index
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