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Design space exploration for asset development in smart oilfields
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Probabilistic data-driven predictive models for energy applications
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Modeling and recognition of events from temporal sensor data for energy applications
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Demand response management in smart grid from distributed optimization perspective
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Real-time reservoir characterization and optimization during immiscible displacement processes
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Adaptive and resilient stream processing on cloud infrastructure
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A provenance management framework for reservoir engineering
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Data-driven performance and fault monitoring for oil production operations
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Provenance management for dynamic, distributed and dataflow environments
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Flood front tracking and continuous recording of time lag in immiscible displacement
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Discovering and querying implicit relationships in semantic data
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Microsoft Word - USC_DaoyuanZhai_PhDThesis_v4
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Inferential modeling and process monitoring for applications in gas and oil production
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Aggregation and modeling using computational intelligence techniques
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Non‐steady state Kalman filter for subspace identification and predictive control
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Understanding semantic relationships between data objects
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Intelligent systems for decision support
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Empirical study of informational regularizations in learning useful and interpretable representations
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Economic model predictive control for building energy systems
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Performance monitoring and disturbance adaptation for model predictive control
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Process data analytics and monitoring based on causality analysis techniques
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City-scale aerial LiDAR point cloud visualization
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3D object detection in industrial site point clouds
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Concurrent monitoring and diagnosis of process and quality faults with canonical correlation analysis
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Robust real-time algorithms for processing data from oil and gas facilities
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