Results 51 to 60 of about 150 (103)
Vectorizing Human Gait: An Adaptive Kinematic Embedding for Monitoring and Intent Detection
IEEE Transactions on Neural Systems and Rehabilitation EngineeringLower-limb exoskeletons offer high-dose gait rehabilitation, but their effectiveness depends on accurate coordination between the user and robotic controller. We propose a real-time method to estimate and represent the user’s intended motions from
Lyndon Tang, Arash Arami
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NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Ice-penetrating radar is an effective method for studying the subglacial bedrock and ice information within the Antarctic ice sheet. Because of the low conductivity of ice and the relatively uniform composition of ice sheets in the polar region, ice ...
X. Tang, S. Cheng, J. Guo
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Adaptive Control of Quadrotors in Uncertain Environments
EngThe problem addressed in this article consists of the motion control of a quadrotor affected by model disturbances and uncertainties. In order to tackle model uncertainty, adaptive control based on reinforcement learning is used.
Daniel Leitão +2 more
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Near real-time estimation of ionosphere vertical total electron content from GNSS satellites using B-splines in a Kalman filter [PDF]
Annales Geophysicae, 2017 Although the number of terrestrial global navigation satellite system (GNSS) receivers supported by the International GNSS Service (IGS) is rapidly growing, the worldwide rather inhomogeneously distributed observation sites do not allow the generation
E. Erdogan +3 more
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Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models
ForecastingSpatial auto-regressive (SAR) models are widely used in geosciences for data analysis; their main feature is the presence of weight (W) matrices, which define the neighboring relationships between the spatial units.
Carlo Grillenzoni
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Distance Dependent Localization Approach in Oil Reservoir History Matching: A Comparative Study [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2014 To perform any economic management of a petroleum reservoir in real time, a predictable and/or updateable model of reservoir along with uncertainty estimation ability is required. One relatively recent method is a sequential Monte Carlo implementation of
Ebrahim Biniaz Delijani +2 more
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Applied SciencesIn the era of big data and rapid information growth, investors encounter a complex financial environment characterized by extensive data, conflicting investment objectives, and markets that are unpredictable due to economic and policy fluctuations. Hence,
Peng Jia +5 more
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Fast Riemannian Manifold Hamiltonian Monte Carlo for Hierarchical Gaussian Process Models
MathematicsHierarchical Bayesian models based on Gaussian processes are considered useful for describing complex nonlinear statistical dependencies among variables in real-world data.
Takashi Hayakawa, Satoshi Asai
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How peer review constrains cognition: on the frontline in the knowledge sector
Frontiers in Psychology, 2015 Peer-review is neither reliable, fair, nor a valid basis for predicting ‘impact’: as quality control, peer-review is not fit for purpose. Given this consensus, I propose another framing: while a normative social process, peer-review also shapes the ...
Stephen John Cowley
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Applied and Environmental Soil Science, 2014 The sloping mire landscape of the investigation area, in the southern Andes of Ecuador, is dominated by stagnic soils with thick organic layers. The recursive partitioning algorithm Random Forest was used to predict the spatial water stagnation pattern ...
Mareike Ließ +2 more
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