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Scaling plant hydraulic traits to predict ecosystem fluxes under drought. [PDF]
New PhytolLiu Y.
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A deep neural network and AIS-integrated method for ship trajectory prediction and yaw warning in cross-river power transmission line protection. [PDF]
PLoS OneRui Y, Zhaofeng L, Xunyun L, Zehuai L.
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A Cross-Modal Temporal Alignment Framework for Artificial Intelligence-Driven Sensing in Multilingual Risk Monitoring. [PDF]
Sensors (Basel)Sun H +6 more
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Spider-Leg-Inspired Structural Design and Bézier Foot Trajectory Planning for Stable Walking of a Hexapod Robot. [PDF]
Biomimetics (Basel)Wu J +7 more
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Modeling the Forward Surface of Mortality
SIAM Journal on Financial Mathematics, 2012Longevity risk constitutes an important risk factor for insurance companies and pension plans. For its analysis, but also for evaluating mortality-contingent structured financial products, modeling approaches allowing for uncertainties in mortality projections are needed.
Daniel Bauer 0003 +2 more
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Model Decomposition for Forward Model Approximation
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018In this paper we propose a model decomposition architecture, which advances on our previous attempts of learning an approximated forward model for unknown games [1]. The developed model architecture is based on design constraints of the General Video Game Artificial Intelligence Competition and the Video Game Definition Language. Our agent first builds
Alexander Dockhorn +2 more
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A performance model for Forward XPath
2012 International Conference on High Performance Computing & Simulation (HPCS), 2012XML is a key standard for manipulating data on the Internet. However, querying large volume of XML data represents a bottleneck for several data intensive applications. Many modern applications require processing of massive streams of XML data, creating difficult technical challenges.
Muath Alrammal, Gaétan Hains
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Ellipsoidal electrogastrographic forward modelling
Physics in Medicine and Biology, 2005The theoretical and computational study of the electromagnetic forward and inverse problems in ellipsoidal geometry is important in electrogastrography because the geometry of the human stomach can be well approximated using this idealized body. Moreover, the anisotropies inherent to this organ can be highlighted by the characteristics of the electric ...
Andrei, Irimia, L Alan, Bradshaw
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Learning tracking control with forward models
2012 IEEE International Conference on Robotics and Automation, 2012Performing task-space tracking control on redundant robot manipulators is a difficult problem. When the physical model of the robot is too complex or not available, standard methods fail and machine learning algorithms can have advantages. We propose an adaptive learning algorithm for tracking control of underactuated or non-rigid robots where the ...
Botond Bocsi +3 more
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