Results 51 to 60 of about 18,085 (342)

Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis [PDF]

open access: yesInternational Journal of Mining and Geo-Engineering, 2015
Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of ...
Moslem Moradi   +4 more
doaj  

Bayesian Multitask Inverse Reinforcement Learning [PDF]

open access: yes, 2012
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or as different experts trying to solve the same task. Our main contribution is to formalise the problem as statistical preference elicitation, via a number of structured priors,
Christos Dimitrakakis   +1 more
openaire   +2 more sources

Robust adaptive beamforming using a Bayesian steering vector error model [PDF]

open access: yes, 2013
We propose a Bayesian approach to robust adaptive beamforming which entails considering the steering vector of interest as a random variable with some prior distribution.
Bidon, Stéphanie, Besson, Olivier
core   +1 more source

Traveltime tomography and efficient physics-informed Bayesian inversion

open access: yes, 2022
Bayesian inversion provides the same information as regularized inversion of seismic data, except it also supplies a probability estimate of the solution throughout model space.
George Turkiyah   +5 more
core   +1 more source

A VTI anisotropic media inversion method based on the exact reflection coefficient equation

open access: yesFrontiers in Physics, 2022
Anisotropy is widespread in the Earth’s crust, and VTI (vertical axis symmetry transverse isotropy) anisotropy is common due to stratigraphic pressure. Disregarding anisotropy leads to inaccurate inversion results in VTI media.
Fan Wu   +11 more
doaj   +1 more source

Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz   +9 more
wiley   +1 more source

Perspectives on Geoacoustic Inversion of Ocean Bottom Reflectivity Data

open access: yesJournal of Marine Science and Engineering, 2016
This paper focuses on acoustic reflectivity of the ocean bottom, and describes inversion of reflection data from an experiment designed to study the physical properties and structure of the ocean bottom.
N. Ross Chapman
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

open access: yesAdvanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen   +11 more
wiley   +1 more source

The Effect of Available Data on the Worth of Future Observations for Groundwater Modeling

open access: yesWater Resources Research
Groundwater model parameters need to be inferred on the basis of limited observation data, resulting in prediction uncertainty. The reduction of this uncertainty via future complementary observations is of high importance for many problems and can be ...
Max G. Rudolph   +3 more
doaj   +1 more source

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