Követés
Narendhar Gugulothu
Narendhar Gugulothu
TCS Research
E-mail megerősítve itt: tcs.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
1912018
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
1912017
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
1052018
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
312018
Predicting remaining useful life using time series embeddings based on recurrent neural networks (2017)
N Gugulothu, V Tv, P Malhotra, L Vig, P Agarwal, G Shroff
arXiv preprint arXiv:1709.01073, 2017
152017
Predicting remaining useful life using time series embeddings based on recurrent neural networks. arXiv 2017
N Gugulothu, V Tv, P Malhotra, L Vig, P Agarwal, G Shroff
arXiv preprint arXiv:1709.01073, 0
11
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
92018
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
62017
Time series prediction with confidence estimates using sparse recurrent mixture density networks
N Gugulothu, EN Subramanian, SP Bhat
US Patent 11,556,789, 2023
52023
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
32019
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
32019
Mixture Density Networks for Classification with an Application to Product Bundling
N Gugulothu, SP Bhat, T Bodas
arXiv preprint arXiv:2402.05428, 2024
2024
Sparse neural network based anomaly detection in multi-dimensional time series
P Malhotra, N Gugulothu, L Vig, G Shroff
US Patent 11,429,837, 2022
2022
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
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–15