Results 171 to 180 of about 336,109 (283)

Fast ripple‐delta coupling as an early biomarker for post‐traumatic epileptogenesis in repetitive brain injury

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Traumatic brain injury (TBI) can induce posttraumatic epilepsy (PTE), but early biomarkers for epileptogenesis are lacking. We aimed to investigate electrographic biomarkers before and during posttraumatic seizure development. Methods We used a repetitive diffuse TBI model in mice with continuous video‐EEG monitoring up to 4½ months ...
Oleksii Shandra   +7 more
wiley   +1 more source

Out of the lab, into real life: Evaluating at‐home EEG self‐monitoring

open access: yesEpilepsia Open, EarlyView.
Abstract Seizure forecasting models require long‐term, high‐quality data collected in real‐life settings using noninvasive or minimally invasive devices, yet, the lack of such systems remains a major barrier to their clinical translation. Here, we aimed to evaluate the signal quality of self‐applied at‐home EEG monitoring using a wearable system in ...
Louis Cousyn   +7 more
wiley   +1 more source

Off‐Grid Solar Systems: An Experimental Work and Systematic Techno‐Economic Analysis

open access: yesEnergy Science &Engineering, EarlyView.
In the study mentioned above, experimental monitoring and economic evaluation of two off‐grid PV systems were conducted using a low‐cost data logger. The results suggest that basic DC systems are economically feasible compared to grid power, but that AC systems require further cost‐cutting to achieve financial viability.
MD Shouquat Hossain   +7 more
wiley   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

open access: yesEnergy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe   +3 more
wiley   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

open access: yesEnergy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga   +3 more
wiley   +1 more source

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