Results 141 to 150 of about 447,860 (319)
Long‐Term Visual Gist Abstraction Independent of Post‐Encoding Sleep
Journal of Sleep Research, EarlyView.ABSTRACT Current theories of memory processing postulate a slow transformation from episodic to abstract, gist‐like memories. We previously demonstrated that sleep shortly after learning improves gist abstraction in healthy volunteers across a one‐year retention interval using a visual version of the Deese‐Roediger‐McDermott (DRM) paradigm.
Nicolas D. Lutz +7 more
wiley +1 more source
Monitoring panels of sparse functional data
Journal of Time Series Analysis, EarlyView.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
Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
Journal of Time Series Analysis, EarlyView.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
Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection
Journal of Time Series Analysis, EarlyView.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
Computer-Aided Civil and Infrastructure Engineering, EarlyView.Abstract Failure of buried pipelines can result in serious impacts, such as explosions, environmental contamination, and economic losses. Early detection and location of unexpected events is crucial to prevent such events. However, conventional monitoring methods exhibit limited generalization performance under varying environmental and operational ...
Sun‐Ho Lee +2 more
wiley +1 more source
Spectral analysis and Hilbert transform of aeromagnetic data over the upper Benue trough, Nigeria.
, 2003 A. Nur, O.C. Ofoegbu, K. Mosto Onuoha
openalex +2 more sources
Deep learning for computer vision in pulse‐like ground motion identification
Computer-Aided Civil and Infrastructure Engineering, EarlyView.Abstract Near‐fault pulse‐like ground motions can cause severe damage to long‐period engineering structures. A rapid and accurate identification method is essential for seismic design. Deep learning offers a solution by framing pulse‐like motion identification as an image classification task.
Lu Han, Zhengru Tao
wiley +1 more source
Investigation of Hilbert–Huang Transform and Fourier Transform for Horizontal-to-Vertical Spectral Ratio Analysis: Understanding the Shallow Structure in Mataram City, Lombok, Indonesia [PDF]
, 2020 Mochammad Randy Caesario Harsuko +7 more
openalex +1 more source
Plant, Cell &Environment, EarlyView.ABSTRACT Pulses provide myriad health benefits and are advantageous in an environmental context as a result of their leguminous nature. However, phytopathogenic fungi, oomycetes and bacteria pose a substantial threat to pulse production, at times leading to crop failure.
Stacy D. Singer +6 more
wiley +1 more source