Results 101 to 110 of about 846,274 (324)

Bayesian Coronal Seismology

, 2017
In contrast to the situation in a laboratory, the study of the solar atmosphere has to be pursued without direct access to the physical conditions of interest. Information is therefore incomplete and uncertain and inference methods need to be employed to
Arregui, I.
core   +1 more source

Reduced Bayesian Inversion

, 2014
Bayesian inversion of models with large state and parameter spaces proves to be computationally complex. A combined state and parameter reduction can significantly decrease the computational time and cost required for the parameter estimation. The presented technique is based on the well-known balanced truncation approach. Classically, the balancing of
Himpe, Christian, Ohlberger, Mario
openaire   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Discontinuous transtensional rupture during the Mw 7.2 1995 Gulf of Aqaba earthquake

Seismica
The Gulf of Aqaba earthquake occurred on 22 November 1995 in the Northern Red Sea and is the largest instrumentally recorded earthquake in the region to date. The event was extensively studied during the initial years following its occurrence.
Hannes Vasyura-Bathke, Andreas Steinberg, Frank Krüger, Guangcai Feng, P. Martin Mai, Sigurjón Jónsson   +5 more
doaj   +1 more source

Quantum State Tomography of a Single Qubit: Comparison of Methods

, 2016
The tomographic reconstruction of the state of a quantum-mechanical system is an essential component in the development of quantum technologies. We present an overview of different tomographic methods for determining the quantum-mechanical density matrix
Schmied, Roman
core   +1 more source

The Crust and Upper Mantle Structure of Central and West Antarctica From Bayesian Inversion of Rayleigh Wave and Receiver Functions

Journal of Geophysical Research: Solid Earth, 2018
We construct a new seismic model for central and West Antarctica by jointly inverting Rayleigh wave phase and group velocities along with P wave receiver functions.
W. Shen, D. Wiens, S. Anandakrishnan, R. Aster, P. Gerstoft, P. Bromirski, S. Hansen, I. Dalziel, D. Heeszel, A. Huerta, A. Nyblade, R. Stephen, Terry J. Wilson, J. P. Winberry   +13 more
semanticscholar   +1 more source

Bayesian inversion in resin transfer molding [PDF]

Inverse Problems, 2017
We study a Bayesian inverse problem arising in the context of resin transfer molding (RTM), which is a process commonly used for the manufacturing of fiber-reinforced composite materials.
M. Iglesias, Min-Ho Park, M. Tretyakov
semanticscholar   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Research on audio-frequency magnetotelluric detection capability of geothermal clay cap based on trans-dimensional Bayesian inversion

地质科技通报
Objective In geothermal exploration, a clay cap is a typical hydrothermal geothermal system, and its depth and distribution range can provide crucial information for delineating the scope of geothermal resources and determining the location of geothermal
Yue ZHU, Ronghua PENG, Xiangyun HU, Wenlong ZHOU, Shuncong HUANG, Xing LU   +5 more
doaj   +1 more source

Data-Informed Inversion Model (DIIM): a framework to retrieve marine optical constituents using a three-stream irradiance model [PDF]

Geoscientific Model Development
Within the New Copernicus Capability for Trophic Ocean Networks (NECCTON) project, we aim to improve the current data assimilation system by developing a method for accurately estimating marine optical constituents from satellite-derived remote sensing ...
C. E. Soto López, C. E. Soto López, M. Gharbi Dit Kacem, M. Gharbi Dit Kacem, F. Anselmi, P. Lazzari   +5 more
doaj   +1 more source