Results 251 to 260 of about 3,150,781 (375)

A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus. [PDF]

Elife
Dávid C, Giber K, Kerti-Szigeti K, Köllő M, Nusser Z, Acsady L.   +5 more
europepmc   +1 more source

Use of spatial autocorrelation of microtremor using L- and triangle- arrays for estimations of S-wave velocity model and soil response at ITS Surabaya

S P Mukhbitah, S Saifuddin, Sungkono Sungkono, Eko Minarto   +3 more
openalex   +1 more source

spind: an R Package to Account for Spatial Autocorrelation in the Analysis of Lattice Data

, 2018
Gudrun Carl, Sam Levin, Ingolf Kühn
openalex   +1 more source

Improvement of Spatial Autocorrelation, Kernel Estimation, and Modeling Methods by Spatial Standardization on Distance [PDF]

, 2019
Marc Souris, Florent Demoraes
openalex   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

A Clustering Approach for Atmospheric Phase Error Correction in Ground-Based SAR Using Spatial Autocorrelation. [PDF]

Sensors (Basel)
Qi Y, Hui J, Hou T, Huang P, Tan W, Xu W.   +5 more
europepmc   +1 more source

Spatial Autocorrelation Analysis OfHypertension Cases In Indonesia (Analysis Riskesdas 2018)

Kania Safitri, Muhammad Syukri, Arnild Augina M, Herman Herman   +3 more
openalex   +2 more sources

Spatial Autocorrelation and Association Measures

, 2008
João Garrot Marques Negreiros, Marco Paìnho, Isabel Lopes, A.C. Costa   +3 more
openalex   +2 more sources

Coherent Forecasting of Realized Volatility

Journal of Forecasting, EarlyView.
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley   +1 more source

A spatial autocorrelation analysis of road traffic accidents by severity using Moran's I spatial statistics: a study from Nepal 2019-2022. [PDF]

BMC Public Health
Mahato RK, Htike KM, Sornlorm K, Koro AB, Kafle A, Sharma V.   +5 more
europepmc   +1 more source