Results 21 to 30 of about 874,261 (376)
Energies, 2021 In this work, the main research question is how a high penetration of energy communities (ECs) affects the national electricity demand in the residential sector.
Sebastian Zwickl-Bernhard, Hans Auer
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Computational Intelligence and Neuroscience, 2010 This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data.
R. Oostenveld +3 more
semanticscholar +1 more source
The Isgur-Wise Function within a Modified Heavy-Light Chiral Quark Model [PDF]
, 2009 We consider the Isgur-Wise function xi(omega) within a new modified version of a heavy-light chiral quark model. While early versions of such models gave too small absolute value of the slope, namely xi'(1) of about -0.4 to -0.3, we show how extended ...
Eeg, Jan O., Kumericki, Kresimir
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Dramaturgies of reality – shaping and being shaped by things
Nordic Journal of Art and Research, 2021 New dramaturgy expands beyond the theatre and stage, working on the ways in which things in each time and space are organised and produce meaning. I link this to object-oriented ontology (Morton, 2013; 2016; 2018) and the ethics of relating to things ...
Camilla Eeg-Tverbakk
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Neural computing & applications (Print), 2022 Affective computing, a subcategory of artificial intelligence, detects, processes, interprets, and mimics human emotions. Thanks to the continued advancement of portable non-invasive human sensor technologies, like brain–computer interfaces (BCI ...
Essam H. Houssein +2 more
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Energies, 2021 Battery-powered electric mobility is currently the most promising technology for the decarbonisation of the transport sector, alongside hydrogen-powered vehicles, provided that the electricity used comes 100% from renewable energy sources.
Albert Hiesl +2 more
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MEG and EEG data analysis with MNE-Python
Front. Neuroinform., 2013 Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural activation in the brain is a challenge that requires ...
Alexandre Gramfort +10 more
semanticscholar +1 more source
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
Computational Intelligence and Neuroscience, 2011 Brainstorm is a collaborative open-source application dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and processing, with an emphasis on cortical source estimation techniques and their integration with ...
François Tadel +4 more
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DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG [PDF]
IEEE transactions on neural systems and rehabilitation engineering, 2017 This paper proposes a deep learning model, named DeepSleepNet, for automatic sleep stage scoring based on raw single-channel EEG. Most of the existing methods rely on hand-engineered features, which require prior knowledge of sleep analysis.
Akara Supratak +3 more
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Physiotherapy in the treatment of infantile paralysis
South African Journal of Physiotherapy, 1949 No abstract available.
E. Eeg
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