Results 61 to 70 of about 73,711 (304)
Revista Colombiana de Estadística, 2008 The sample cross-correlation function (SCCF) has been used to study the strength and direction of the linear relation between two jointly stationary stochastic processes.
Castaño Elkin, Martínez Jorge
doaj
Scattering Delay Mitigation in High-accuracy Pulsar Timing: Cyclic Spectroscopy Techniques
The Astrophysical Journal, 2023 We simulate scattering delays from the interstellar medium to examine the effectiveness of three estimators in recovering these delays in pulsar timing data. Two of these estimators use the more traditional process of fitting autocorrelation functions to
Jacob E. Turner +5 more
doaj +1 more source
Robust estimation of autocorrelation function
, 2022 The autocorrelation function is a basic tool for time series analysis. The clas- sical estimation is very sensitive to outliers and can lead to misleading results.
Lain, Michal
core
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Advanced Science, EarlyView.We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source
Synaptic κ‐Ga2O3 Photodetectors for Privacy‐Enhancing Neuromorphic Computing
Advanced Science, EarlyView.We report on a single‐element neuromorphic sensor based on the persistent photoconductivity (PPC) of κ‐phase Ga2O3 capable of sensing ultraviolet light and harnessing intrinsic data privacy. The approach establishes a materials‐enabled pathway toward compact, intelligent, and privacy‐enhancing optoelectronic hardware for next‐generation edge systems ...
Yanqing Jia +13 more
wiley +1 more source
Autocorrelation function for human gait analysis [PDF]
, 2009 The paper presents applying of the autocorrelation function to human gait analysis. The series of angle signals at the hip, knee and ankle joints of patients with different pathological states were analyzed.
M. Derlatka, A. Kotowski
core
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
Advanced Science, EarlyView.We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Advanced Science, EarlyView.Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari +3 more
wiley +1 more source
Autocorrelation function estimated from all individuals’ stable trials.
, 2021 Autocorrelation function estimated from all individuals’ stable trials.
Katherine P. Marlowe (11337228) +2 more
core +1 more source