Results 151 to 160 of about 89,388 (233)

Joint UAV Placement and Active IRS Gain Optimization for Covert Communications. [PDF]

Sensors (Basel)
Qu G, Shen M, Liu K, Xu B, Qian Y.
europepmc   +1 more source

pointwise multipliers between Sobolev spaces

, 2005
The objective of this thesis is to give the fundamental tools of the theory of the pointwise multipliers based mainly on the theory of the Fourier transform and of tempered distributions, and to give it applications in the theory of PDE's. The study of the multipliers pointwise examines in what condition we have the capacitary inequality.
openaire   +1 more source

Quantum Spectral Clustering Framework via Compact Circuit Structures

Advanced Quantum Technologies, Volume 9, Issue 10, October 2026.
Can a quantum computer cluster data without ever reading the full kernel? This work shows that compact, parameterized circuits estimate the Laplacian quadratic forms directly and perform clustering, without explicitly constructing the full quantum fidelity‐kernel matrix.
Hyeong‐gyu Kim, Siheon Park, June‐Koo Kevin Rhee   +2 more
wiley   +1 more source

Uncertainty aware resilience enhancement of energy hub integrated distribution networks under heterogeneous disturbance events. [PDF]

iScience
Emaratkar S, Moradlou M, Nazarian P.
europepmc   +1 more source

Estimation of Mesoscale Momentum Flux Frequency Spectra in the Mesosphere and Lower Thermosphere Using Multistatic Specular Meteor Radar Wind Fields

Journal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract A spectrally resolved observational methodology is introduced to estimate mesoscale momentum flux frequency spectra in the mesosphere and lower thermosphere (MLT). The method is applied to four‐dimensional wind fields reconstructed with the physics‐informed neural network approach called the Hydrodynamic Point‐wise Environment Reconstructor ...
G. Mitra, J. L. Chau, J. F. Conte, J. M. Urco, T. Renkwitz, C. Jacobi   +5 more
wiley   +1 more source

An Immersed Interface Method for Incompressible Flows and Near Contact. [PDF]

J Comput Phys
Facci MJ, Sun Q, Griffith BE.
europepmc   +1 more source

Enhancing Significant Wave Height Simulations Using Distribution‐Aware Deep Learning and Environmental Predictors

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Numerical wave models are widely used for wave forecasting and hindcast data set construction; however, their outputs frequently exhibit systematic biases stemming from uncertainties in wind forcing, physical parameterizations, and bathymetry. To address this issue, a deep learning–based bias correction approach is applied to significant wave ...
Jiageng Han, Shuiqing Li, Delei Li, Yong Fang, Zongyu Li, Jialin Liu, Po Hu   +6 more
wiley   +1 more source

Intertwining Operators Beyond the Stark Effect. [PDF]

Commun Math Phys
Fanelli L, Su X, Wang Y, Zhang J, Zheng J.   +4 more
europepmc   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

Inference on function-valued parameters using a restricted score test. [PDF]

J R Stat Soc Series B Stat Methodol
Hudson A, Carone M, Shojaie A.
europepmc   +1 more source