Results 211 to 220 of about 7,154 (300)
Evaluating the performance of classical, quantum, and hybrid quantum neural networks in solving differential equations. [PDF]
Markazi N, Mirza B.
europepmc +1 more source
Pointwise convergence and differentiability
openaire +2 more sources
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Atmospheric water vapor contribution to interannual variability of Northern Hemisphere summer heatwaves. [PDF]
Cao D, Lin H, Huang Y.
europepmc +1 more source
In this study, we propose a multiscale spatiotemporal causal mapping (MSTCM) algorithm integrating multiscale functional connectivity and delay‐aware causal inference. Applied to resting‐state fMRI data, MSTCM reveals that taVNS reorganizes large‐scale brain networks by enhancing global integration efficiency while shifting information processing from ...
Weiyi Wang +5 more
wiley +1 more source
DFSE-YOLO: deep feature selective enhancement for efficient shipwreck detection in side-scan sonar imagery. [PDF]
Lin Y +5 more
europepmc +1 more source
ABSTRACT This paper develops a mathematical framework for interpreting observations of solar inertial waves in an idealized setting. Under the assumption of purely toroidal linear waves on the sphere, the stream function of the flow satisfies a fourth‐order scalar equation.
Tram Thi Ngoc Nguyen +3 more
wiley +1 more source
Improved YOLOv7 enhances identification of <i>Hylurgus ligniperda</i> in traps. [PDF]
Li Z, Zhang X, Tao J.
europepmc +1 more source
Vector‐Driven Projection and Backprojection
Abstract Background Projection and backprojection are fundamental operators in tomographic image reconstruction. Existing approaches—namely pixel‐driven (PD), ray‐driven (RD), and distance‐driven (DD)—are subject to well‐known trade‐offs among interpolation artifacts, geometric flexibility, and computational cost. Purpose This study aims to introduce a
Ismail Melik Turker, Isa Yildirim
wiley +1 more source
Invariance Principle for Lifts of Geodesic Random Walks. [PDF]
Junné J, Redig F, Versendaal R.
europepmc +1 more source

