Results 191 to 200 of about 4,762 (252)
Empirical Assessment of Storm‐Time Thermospheric Density Inversion Methods From LEO POD Data
Abstract Thermospheric mass density is one of the largest sources of operational uncertainty for spacecraft in low Earth orbit, particularly during geomagnetic storms. The growing population of Global Navigation Satellite System‐equipped satellites presents a data set of opportunity: precise orbit determination (POD) data streams can be used to ...
Charles Constant +4 more
wiley +1 more source
Enhancing generalizability in classification of peripheral neural recordings with graph neural network. [PDF]
Ji RQ, Dousty M, Koh RGL, Sejdić E.
europepmc +1 more source
Abstract Satellites such as the European Space Agency's Sentinel‐1 constellation allow for the creation of unprecedented volumes of Interferometric Synthetic Aperture RaDAR data that contains both deformation and atmospheric signals. Correction methods have been developed to reduce these atmospheric signals, but they do not generally perform well on ...
M. Gaddes, A. Hooper, S. Ebmeier
wiley +1 more source
Comparison theorems on H-type sub-Riemannian manifolds. [PDF]
Baudoin F +3 more
europepmc +1 more source
Abstract Normal faults in southern Tibet have long suffered from limited ground‐based seismic and geodetic observations, constraining our understanding of both interseismic and coseismic processes and their interactions. The 2025 Mw 7.1 Dingri earthquake provides an opportunity to address these gaps.
Haicheng Xiong +9 more
wiley +1 more source
Information-Theoretical Analysis of a Transformer-Based Generative AI Model. [PDF]
Deb M, Ogunfunmi T.
europepmc +1 more source
Abstract Fault slip occurs in both seismic and aseismic styles with spatial variability across scales, yet non‐unique source inference limits our ability to resolve slip complexity and dynamics. Here we evaluate the effect of spatial smoothing regularization in Bayesian frameworks by comparing an unregularized (BUR) approach that samples distributed ...
Xiong Zhao, Junle Jiang
wiley +1 more source
Scalable preparation of matrix product states with sequential and brick wall quantum circuits. [PDF]
Szołdra T, Mukherjee R, Schmelcher P.
europepmc +1 more source
Nonlinear Kinematic Depth Inversion Coupled With a Spectral Wave Model
Abstract We present a bidirectional coupling between a nonlinear kinematic depth inversion method and a phase‐averaged spectral wave model to evaluate the influence of wave nonlinearity over gently sloping nearshore bathymetry. Time‐resolved wave imagery provides spatially varying frequency–wavenumber fields, whereas the simulated significant wave ...
Byunguk Kim +4 more
wiley +1 more source

