University of Southern California Center for Interactive Smart Oilfield Technologies The USC Andrew and Erna Viterbi School of Engineering

 

IPDC: Iterative Part-Based Dense Correspondence between Point Clouds

Rongqi Qiu, Ulrich Neumann, University of Southern California

WACV 2016: IEEE Winter Conference on Applications of Computer Vision / March 7-9, 2016 in Lake Placid, NY, USA

 

GPU-Accelerated Parameter Optimization for Classification Rule Learning

Greg Harris, Anand Panangadan, Viktor Prasanna, University of Southern California

The 29th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2016) / May 16–18, 2016, Key Largo, Florida

 

Data Mining with Shapelets for Predicting Valve Failures in Gas Compressors

Om Prasad Patri, Arash Saber Tehrani, Viktor Prasanna, Rajgopal Kannan, Anand Panangadan, University of Southern California. Nabor Reyna, Chevron, U.S.A.

SPE Western Regional Meeting (WRM) 2016 / May 24-26, 2016, Anchorage, AK

 

Smart Oilfield Safety Net: An Integrated System for Prediction of Asset Integrity Opportunities

Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K Prasanna, Iraj Ershaghi, Xiang Li, Ulrich Neumann, Raghu Raghavendra, Mona Sharifi, Vega Sankur, Ke-Thia Yao, Suya You, University of Southern California

Jacques Blouin, Travis L. Harrington, Robert House, Joey Poret, Brian Thigpen, Chevron, U.S.A.

SPE Intelligent Energy International Conference and Exhibition/ 6-8 September 2016, AECC, Aberdeen, UK

 

Automated real-time process data analysis using online wavelet transforms: fault detection, data cleansing and compression

Alisha Deshpande, Dr Joe Qin, University of Southern California

Lisa Brenskelle, Chevron, U.S.A.

SPE Intelligent Energy International Conference and Exhibition/ 6-8 September 2016, AECC, Aberdeen, UK

 

Thou shalt ASQFor and shalt receive the semantic answer

Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K Prasanna, University of Southern California

IJCAI-16: 25th International Joint Conference on Artificial Intelligence / July 9th-15th 2016, New York, USA

 

Robust Dynamic Principal Component Analysis Method for Modelling Process Data

Alisha Deshpande, Dr Joe Qin, University of Southern California

Lisa Brenskelle, Chevron, U.S.A.

AIChE Conference / San Francisco, Nov 13-18 2016