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Showing results 1-7 of 7

2019
1 Heghedus, Cristina Viorica; Shchipanov, Anton; Chunming, Rong.
Advancing Deep Learning to Improve Upstream Petroleum Monitoring. IEEE Access 2019 ;Volume 7.(1) p. 106248-106259
NORCE UIS Untitled
 
2 Heghedus, Cristina Viorica; Shchipanov, Anton; Rong, Chunming.
Pattern Recognition and Flow Rate Reconstruction: PDG Data Analysis Using Machine Learning. 2019 Rice Oil & Gas HPC Conference; 2019-03-04 - 2019-03-06
UIS Untitled
 
2018
3 Heghedus, Cristina Viorica; Chakravorty, Antorweep; Chunming, Rong.
Energy Informatics Applicability; Machine Learning and Deep Learning. I: Big Data, Cloud Computing, Data Science and Engineering. IEEE 2018 ISBN 978-1-5386-5605-1. p. 97-101
UIS Untitled
 
4 Heghedus, Cristina Viorica; Chakravorty, Antorweep; Chunming, Rong.
Energy Load Forecasting Using Deep Learning. I: IEEE International Conference on Energy Internet. IEEE 2018 ISBN 978-1-5386-4131-6. p. 146-151
UIS Untitled
 
5 Heghedus, Cristina Viorica; Chakravorty, Antorweep; Rong, Chunming.
Deep Learning For Short-Term Energy Load Forecasting Using Influential Factors. The 13th World Congress on Energy Asset Management; 2018-09-24 - 2018-09-26
UIS Untitled
 
6 Shchipanov, Anton; Berenblyum, Roman; Khrulenko, Alexey A.; Kollbotn, Lars; Rong, Chunming; Heghedus, Cristina Viorica; Haugsand, Fredrik.
Well Data Analytics: from Case Studies to Solutions. ONS Technical Sessions; 2018-08-28 - 2018-08-29
NORCE UIS Untitled
 
2017
7 Heghedus, Cristina Viorica.
Ph.D. Forum: Forecasting Public Transit Using Neural Network Models. I: 2017 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE conference proceedings 2017 ISBN 978-1-5090-6517-2. p. 243-244
UIS Untitled