Results 211 to 220 of about 43,359 (276)

Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials

open access: yesIET Power Electronics, EarlyView.
This paper outlines the methodology for predicting power loss in magnetic materials. A neural network based method is introduced, which adopts a long short‐term memory network, expressing the core loss as a function of magnetic flux density in the frequency domain, temperature, frequency, and classification of the waveforms.
Dixant Bikal Sapkota   +3 more
wiley   +1 more source

Polarization-Independent Broadband Infrared Selective Absorber Based on Multilayer Thin Film. [PDF]

open access: yesNanomaterials (Basel)
Wu S   +6 more
europepmc   +1 more source

Zebrafish models of developmental epileptic encephalopathy accurately reflect clinical electrographic biomarkers

open access: yesEpilepsia, EarlyView.
Abstract Objective Developmental epileptic encephalopathies (DEEs) are epilepsy conditions characterized by significant severity and treatment challenges. Spectral components of the encephalogram (EEG) may provide a valuable biomarker of epileptic severity.
Paige Whyte‐Fagundes   +3 more
wiley   +1 more source

Spike–fast activity interplay: A gateway to seizure

open access: yesEpilepsia, EarlyView.
Abstract Objective The transition from interictal discharges to ictal high‐frequency activity (HFA) remains poorly understood. We investigated whether spike‐associated high‐frequency oscillations (Sp‐HFOs) during interictal and preictal periods contribute to the emergence of ictal HFA.
Thandar Aung   +2 more
wiley   +1 more source

Scalp high‐frequency activity differentiates neonates with seizures from healthy neonates and indicates postneonatal epilepsy risk

open access: yesEpilepsia, EarlyView.
Abstract Objective This study investigated whether scalp high‐frequency activity (HFA) rates in neonates with seizures predict postneonatal epilepsy (PNE). It also assessed whether HFA rates differentiate neonates with seizures from healthy neonates and whether they vary by seizure etiology, therapeutic hypothermia, and electroencephalographic (EEG ...
Panagiota Karatza   +6 more
wiley   +1 more source

A perspective on automated rapid eye movement sleep assessment

open access: yesJournal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley   +1 more source

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