Results 131 to 140 of about 119,322 (225)
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
Deep Learning Integration in Optical Microscopy: Advancements and Applications
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
wiley +1 more source
In this article, using a new nonlinear mapping called demimetric, we prove weak and strong convergence theorenus for findinng a commou element of the set of commou fixed pomints of a fimite family of such new demimetnic mappings and the set of common solutions of variational inequality problems for a finite family of inverse strongly monotone mappings ...
openaire +1 more source
ABSTRACT Early childhood adversity poses a risk for lifelong negative impacts on health and development. Previous studies have demonstrated that early interventions possess the potential to act as a positive buffer, alleviating the adverse effects of adversity on children. This research extends upon existing literature by investigating the effects of a
Whitney Grube +3 more
wiley +1 more source
Recovery From Anorexia Nervosa: A Concept Analysis
ABSTRACT Aim Despite decades of research, we still know surprisingly little about how best to bring about lasting recovery from anorexia nervosa (AN). Furthermore, there is a lack of consensus in the research and treatment communities about what constitutes recovery from AN, or whether “recovery” is even an appropriate term to use in this context.
Sarah Ramsay, Kendra Allison
wiley +1 more source
Monitoring panels of sparse functional data
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
Weak convergence of a primal-dual algorithm for split common fixed-point problems in Hilbert spaces [PDF]
openaire +1 more source
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
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
An infinite dimensional Saddle Point Theorem and application. [PDF]
Colin F, Songo A.
europepmc +1 more source
Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection
ABSTRACT This article applies the functional sieve bootstrap (FSB) to estimate the distribution of the partial sum process for time series stemming from a weakly stationary functional process. Consistency of the FSB procedure under weak assumptions on the underlying functional process is established.
Efstathios Paparoditis +2 more
wiley +1 more source

