Results 241 to 250 of about 210,506 (318)
Matrix Quantum Mechanics and Entanglement Entropy: A Review. [PDF]
Entropy (Basel)Fliss JR, Frenkel A.
europepmc +1 more source
Earthquake Spectra, Volume 42, Issue 2, May 2026.This study investigates the vertical dynamic response of a 52‐story high‐rise building in downtown Los Angeles using small‐magnitude earthquake data recorded by the Community Seismic Network. While seismic design traditionally emphasizes horizontal ground motion, vertical accelerations can have a significant impact on tall structures, leading to ...
Viviana Vela +4 more
wiley +1 more source
Training-Free Quantum Architecture Search Under Realistic Noise via Expressibility-Guided Evolution. [PDF]
Entropy (Basel)Mousavi S +3 more
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Deep Learning Integration in Optical Microscopy: Advancements and Applications
Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
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From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework. [PDF]
Educ Psychol MeasZumbo BD.
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Monitoring panels of sparse functional data
Journal of Time Series Analysis, Volume 47, Issue 3, Page 660-674, May 2026.Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source
Function theory on the annulus in the dp-norm. [PDF]
Integr Equ Oper TheoryAgler J, Lykova ZA, Young NJ.
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Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
Journal of Time Series Analysis, Volume 47, Issue 3, Page 612-631, May 2026.ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth +2 more
wiley +1 more source