Results 91 to 100 of about 70,196 (284)

A variational Bayesian method for inverse problems with impulsive noise

, 2011
We propose a novel numerical method for solving inverse problems subject to impulsive noises which possibly contain a large number of outliers. The approach is of Bayesian type, and it exploits a heavy-tailed t distribution for data noise to achieve ...
Achim, Alliney, Attias, Bangti Jin, Beck, Chan, Chappell, Choi, Clason, Clason, Colli-Franzone, Dempster, Emery, Emery, Gao, Gelman, Geweke, Hebert, Inglese, Jin, Jin, Jin, Jin, Jordan, Kaipio, Kaipio, Koutsourelakis, Lange, Ma, Marzouk, Marzouk, Osman, Sambridge, Sato, Su, Tarantola, Tipping, Wang, Wang   +38 more
core   +1 more source

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +1 more source

Bayesian Estimation of Surface Strain Rates in the Peri-Adriatic, Balkans and Aegean region from GNSS Velocities

Tektonika
The calculation of spatial derivatives of the lithosphere surface velocity field has become a routine task in geosciences. It provides a continuous description of strain rates characteristics (dilation, rotation, strain rate intensity, etc) and ...
Marianne Métois, Cécile Lasserre, Aimine Méridi, Maxime Henriquet, Thomas Bodin   +4 more
doaj   +1 more source

Characterization of complex fluvial-deltaic deposits in Northeast India using Poisson impedance inversion and non-parametric statistical technique

Scientific Reports, 2022
Characterizing complex fluvial-deltaic deposits is a challenging task for finding hydrocarbon discoveries. We described a methodology for predicting the hydrocarbon zones from complex well-log and prestack seismic data.
M. Nagendra Babu, Venkatesh Ambati, Rajesh R. Nair   +2 more
doaj   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Fourier coefficients-based stepwise Bayesian inversion for elastic and fracture parameters using azimuthal seismic data

Frontiers in Earth Science
The inversion of elastic and fracture parameters from azimuthal seismic data plays a critical role in charactering naturally fractured reservoirs. We propose a Fourier coefficients-based stepwise Bayesian inversion method to estimate these reservoir ...
Jingkun Sui, Haowen Xu, Sheng Chen, Xiaodong Zheng, Xinpeng Pan   +4 more
doaj   +1 more source

Probabilistic inversion of expert assessments to inform projections about Antarctic ice sheet responses.

PLoS ONE, 2017
The response of the Antarctic ice sheet (AIS) to changing global temperatures is a key component of sea-level projections. Current projections of the AIS contribution to sea-level changes are deeply uncertain.
Robert William Fuller, Tony E Wong, Klaus Keller   +2 more
doaj   +1 more source

From Neutron Star Observables to the Equation of State. II. Bayesian Inference of Equation of State Pressures

, 2017
One of the key goals of observing neutron stars is to infer the equation of state (EoS) of the cold, ultradense matter in their interiors. We present here a Bayesian statistical method of inferring the pressures at five fixed densities, from a sample of ...
Psaltis, Dimitrios, Raithel, Carolyn A., Özel, Feryal   +2 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Development of the Inversion Method for Transient Electromagnetic Data

IEEE Access, 2020
Transient electromagnetic method (TEM) is a geophysical tool to obtain resistivity distribution in the subsurface. Combining with the resistivity property of typical rocks, the TEM method can make inferences of the geological maps underground.
Guoqiang Xue, Hai Li, Yiming He, Junjie Xue, Xin Wu   +4 more
doaj   +1 more source