| Multivariate time series classification by combining trend-based and value-based approximations B Esmael, A Arnaout, RK Fruhwirth, G Thonhauser Computational Science and Its Applications–ICCSA 2012: 12th International …, 2012 | 80 | 2012 |
| A statistical feature-based approach for operations recognition in drilling time series B Esmael, A Arnaout, R Fruhwirth, G Thonhauser International Journal of Computer Information Systems and Industrial …, 2012 | 67 | 2012 |
| Improving time series classification using Hidden Markov Models B Esmael, A Arnaout, RK Fruhwirth, G Thonhauser 2012 12th International Conference on Hybrid Intelligent Systems (HIS), 502-507, 2012 | 61 | 2012 |
| Intelligent real-time drilling operations classification using trend analysis of drilling rig sensors data A Arnaout, R Fruhwirth, B Esmael, G Thonhauser SPE Kuwait International Petroleum Conference and Exhibition, SPE-163302-MS, 2012 | 21 | 2012 |
| A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data. B Alsallakh, M Bögl, T Gschwandtner, S Miksch, B Esmael, A Arnaout, ... EuroVA@ EuroVis, 2014 | 20 | 2014 |
| Diagnosing drilling problems using visual analytics of sensors measurements A Arnaout, B Alsallakh, R Fruhwirth, G Thonhauser, B Esmael, ... 2012 IEEE international instrumentation and measurement technology …, 2012 | 16 | 2012 |
| Distributed recognition system for drilling events detection and classification A Arnaout, P O'Leary, B Esmael, G Thonhauser International Journal of Hybrid Intelligent Systems 11 (1), 25-39, 2014 | 9 | 2014 |
| Automated system for drilling operations classification using statistical features B Esmael, A Arnaout, RK Fruhwirth, G Thonhauser 2011 11th International Conference on Hybrid Intelligent Systems (HIS), 196-199, 2011 | 9 | 2011 |
| Automatic threshold tracking of sensor data using Expectation Maximization algorithm A Arnaout, B Esmael, RK Fruhwirth, G Thonhauser 2011 11th International Conference on Hybrid Intelligent Systems (HIS), 551-554, 2011 | 6 | 2011 |
| Drilling events detection using hybrid intelligent segmentation algorithm A Arnaout, B Esmael, RK Fruhwirth, G Thonhauser 2012 12th International Conference on Hybrid Intelligent Systems (HIS), 508-511, 2012 | 5 | 2012 |
| Automated Operations Classification using Text Mining Techniques B Esmael, A Arnaout, R Fruhwirth, G Thonhauser The 3rd International Conference on Computational Intelligence and …, 2010 | 5 | 2010 |
| Model-Based Hookload Monitoring and Prediction at Drilling Rigs using Neural Networks and Forward-Selection Algorithm A Arnaout, R Fruhwirth, M Winter, B Esmael, G Thonhauser EGU General Assembly Conference Abstracts, 12209, 2012 | 4* | 2012 |
| Operations recognition at drill-rigs B Esmael, R Fruhwirth, A Arnaout, G Thonhauser EGU General Assembly Conference Abstracts, 12592, 2012 | 4 | 2012 |
| A hybrid multiple classifier system for recognizing usual and unusual drilling events B Esmael, A Arnaout, RK Fruhwirth, G Thonhauser 2012 IEEE International Instrumentation and Measurement Technology …, 2012 | 3 | 2012 |
| Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components A Arghad, E Bilal, F Rudolf The 3rd International Conference on Computational Intelligence and …, 2010 | 1 | 2010 |
| Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components A Arnaout, B Esmael, RK Fruhwirth, G Thonhauser | 1 | 2010 |
| Knowledge Extraction from Drilling Data Using Machine Learning Techniques B Esmael | | 2014 |
| A Pattern-Based Framework for Events Recognition in Time Series Data B Esmael, A Arnaout, G Thonhauser, P Zöllner ITISE2014 - International work-conference on Time Series, 2014 | | 2014 |
| Real-Time Classification of Drilling Operations using Trend Analysis of Hookload Sensor Measurements A Arnaout, B Esmael, R Fruhwirth, G Thonhauser Kuwait International Petroleum Conference and Exhibition, 1-1, 2013 | | 2013 |
| Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components G Thonhauser, B Esmael Abnormal Oil Well Drilling Operations Detection Using Smallest Principal …, 2010 | | 2010 |
Arghad ArnaoutSr. Digital Transformation Strategy Consultant, Injazat Data Systems (Mubadala Company)Verified email at injazat.com
