Results 171 to 180 of about 24,206 (303)

Glymphatic dysfunction couples with cortical excitation–inhibition imbalance in epilepsy: Evidence from Rasmussen encephalitis

open access: yesEpilepsia, EarlyView.
Cong Fu et al. demonstrate that glymphatic system dysfunction is linked to enhanced inhibitory cortical activity using diffusion MRI and EEG. These findings highlight a mechanistic link between perivascular fluid dynamics and neuronal activity, suggesting a role for glymphatic function in maintaining cortical stability in epilepsy.
Cong Fu   +11 more
wiley   +1 more source

LM-Tests for Linearity Against Smooth Transition Alternatives: A Bootstrap Simulation Study [PDF]

open access: yes
The universal method for testing linearity against smooth transition autoregressive (STAR) alternatives is the linearization of the STAR model around the null nuisance parameter value, and performing F-tests on polynomial regressions in the spirit of the
Jonathan B. Hill
core  

Pulse‐based photoplethysmography quality assessment improves wearable seizure detection performance

open access: yesEpilepsia Open, EarlyView.
Pulse‐based photoplethysmography quality assessment improves wearable seizure detection performance. Abstract Objective Wearable photoplethysmography (PPG) is increasingly used for seizure detection due to its ability to unobtrusively estimate heart rate (HR).
Mohammad Shahbakhti   +4 more
wiley   +1 more source

Synthetic Expansion of Blood Dielectric Spectra at Microwave Frequencies Using Data-Driven Methods. [PDF]

open access: yesSensors (Basel)
Alhummada I   +5 more
europepmc   +1 more source

Validation procedures in radiological diagnostic models. Neural network and logistic regression [PDF]

open access: yes
The objective of this paper is to compare the performance of two predictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods.
Pedro Delicado   +2 more
core  

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

open access: yesEnergy 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   +2 more
wiley   +1 more source

Bootstrap-based Bandwidth Selection for Semiparametric Generalized Regression Estimators [PDF]

open access: yes
This paper considers the problem of implementing semiparametric extremum estimators of a generalized regression model with an unknown link function. The class of estimator under consideration includes as special cases the semiparametric least-squares ...
Chuan Goh
core  

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

open access: yesEnergy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem   +3 more
wiley   +1 more source

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