Results 141 to 150 of about 846,274 (324)

Trans-dimensional Bayesian inversion of airborne transient EM data from Taylor Glacier, Antarctica

Geophysical Journal International, 2018
Conventional regularized non-linear inversion methods for estimating electrical conductivity from observed electromagnetic data seek to find a single model that fits the data while minimizing a user-imposed model regularization norm.
D. Blatter, K. Key, A. Ray, N. Foley, S. Tulaczyk, E. Auken   +5 more
semanticscholar   +1 more source

A phenomap of TTR amyloidosis to aid diagnostic screening

ESC Heart Failure, Volume 12, Issue 2, Page 1113-1118, April 2025.
Abstract Cardiac amyloidosis due to transthyretin (ATTR) remains an underdiagnosed cause of cardiomyopathy. As awareness of the disease grows and referrals for ATTR increase, clinicians are likely to encounter more atypical forms of the condition in clinical practice.
Alexios S. Antonopoulos, Theodoros Tsampras, George Lazaros, Konstantinos Tsioufis, Charalambos Vlachopoulos   +4 more
wiley   +1 more source

Rational Design of Field-Effect Sensors Using Partial Differential Equations, Bayesian Inversion, and Artificial Neural Networks. [PDF]

Sensors (Basel), 2022
Khodadadian A, Parvizi M, Teshnehlab M, Heitzinger C.   +3 more
europepmc   +1 more source

Source Sector Attribution of CO2 Emissions Using an Urban CO/CO2 Bayesian Inversion System

Journal of Geophysical Research: Atmospheres, 2018
We assimilate multiple trace gas species within a single high‐resolution Bayesian inversion system to optimize CO2ff emissions for individual source sectors.
Brian Nathan, T. Lauvaux, J. Turnbull, S. Richardson, N. Miles, K. Gurney   +5 more
semanticscholar   +1 more source

Ictal–interictal continuum and status epilepticus: Two sides of the same coin? A prospective magnetic resonance imaging study

Epilepsia, EarlyView.
Abstract Objective Status epilepticus (SE) is the most severe expression of seizures, encompassing both SE with prominent motor symptoms and nonconvulsive SE (NCSE). Ictal–interictal continuum (IIC), an electroencephalographic phenomenon, is characterized by periodic discharges (PD), spike‐and‐waves or sharp‐and‐waves (SW), or lateralized rhythmic ...
Pilar Bosque‐Varela, Lukas Machegger, Wanda Lauth, Panagiota Eleni Tsalouchidou, Susanne Knake, Georg Zimmermann, Nicolas Jannone‐Pedro, Giada Giovannini, Stefano Meletti, Adrian Ridski Harsono, Fabio Rossini, Markus Leitinger, Johannes Pfaff, Sándor Beniczky, Eugen Trinka, Giorgi Kuchukhidze   +15 more
wiley   +1 more source

Global Coronal Magnetic Field Estimation Using Bayesian Inference

The Astrophysical Journal
Estimating the magnetic field strength in the solar corona is crucial for understanding different physical processes happening over diverse spatiotemporal scales.
Upasna Baweja, Vaibhav Pant, Iñigo Arregui   +2 more
doaj   +1 more source

Efficient Bayesian deep inversion

Journal of Computational Dynamics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Higham, Catherine F., Johnson, Steven, Radwell, Neal, Padgett, Miles J., Murray-Smith, Roderick   +4 more
openaire   +1 more source

Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence

Energy Science &Engineering, EarlyView.
Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek, Naif Alsagr, Aamir Aijaz Syed, Ahmed Jeribi   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

A Novel Bayesian Geophysical Inversion Method to Address Loss Function Bias: The Iterative Normalizing Flows Model

Journal of Geophysical Research: Machine Learning and Computation
Geophysical inversion plays a pivotal role in understanding the Earth's internal structure. Recently generative neural networks (GNNs), such as normalizing flows models (NFMs), have gained popularity for solving Bayesian inversion problems.
Binbin Liao, Xiaodong Chen, Jianqiao Xu, Jiangcun Zhou, Heping Sun   +4 more
doaj   +1 more source