Narendhar Gugulothu
Narendhar Gugulothu
TCS Research
Verified email at tcs.com - Homepage
Title
Cited by
Cited by
Year
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
N Gugulothu, V TV, P Malhotra, L Vig, P Agarwal, G Shroff
INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT 9 (1), 13, 2018
682018
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
N Gugulothu, V TV, P Malhotra, L Vig, P Agarwal, G Shroff
2nd ACM SIGKDD Workshop on Machine Learning for Prognostics and Health …, 2017
682017
Online Anomaly Detection with Concept Drift Adaptation using Recurrent Neural Networks
S Saurav, P Malhotra, V TV, N Gugulothu, L Vig, P Agarwal, G Shroff
CoDS-COMAD 2018, 2018
182018
Sparse Neural Networks for Anomaly Detection in High-Dimensional Time Series
N Gugulothu, P Malhotra, L Vig, G Shroff
AI4IOT Workshop at IJCAI 2018, 2018
52018
On Practical Aspects of Using RNNs for Fault Detection in Sparsely-Labeled Multi-sensor Time Series
N Gugulothu, V TV, P Gupta, P Malhotra, L Vig, P Agarwal, G Shroff
Annual Conference of the Prognostics and Health Management Society 10 (1), 2018
42018
Bayesian Networks for Interpretable Health Monitoring of Complex Systems
TV Vishnu, N Gugulothu, P Malhotra, L Vig, P Agarwal, G Shroff
AI4IOT Workshop at Internationation Joint Conference on Artificial …, 2017
32017
Method and system for health monitoring and fault signature identification
P Malhotra, TV Vishnu, N Gugulothu, L Vig, P Agarwal, G Shroff
US Patent 10,719,774, 2020
2020
Learning Algorithms for Dynamic Pricing: A Comparative Study
C Amballa, N Gugulothu, MK Gupta, SP Bhat
2020
Sparse neural network based anomaly detection in multi-dimensional time series
P Malhotra, N Gugulothu, L Vig, G Shroff
US Patent App. 16/353,375, 2020
2020
Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates
N Gugulothu, E Subramanian, SP Bhat
International Conference on Artificial Neural Networks, 422-433, 2019
2019
Load Forecasting in Energy Markets: An Approach Using Sparse Neural Networks
N Gugulothu, E Subramanian
Proceedings of the Tenth ACM International Conference on Future Energy …, 2019
2019
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Articles 1–11