Results 11 to 20 of about 874,261 (376)
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
IEEE transactions on neural systems and rehabilitation engineering, 2022 Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding.
Yonghao Song +3 more
semanticscholar +1 more source
Efficient Load Management for BEV Charging Infrastructure in Multi-Apartment Buildings
Energies, 2020 Interest in and demand for battery electric vehicles (BEVs) is growing strongly due to the increasing awareness of climate change and specific decarbonization goals.
Jasmine Ramsebner +2 more
doaj +1 more source
Clinical Neurophysiology Practice, 2022 Objective: To determine the influence of antiseizure medication (ASM) withdrawal on interictal epileptogenic discharges (IEDs) in scalp-EEG and seizure propensity.
Pia De Stefano +4 more
doaj +1 more source
Impact of Different Charging Strategies for Electric Vehicles in an Austrian Office Site
Energies, 2020 Electric vehicles represent a necessary alternative for wheeled transportation to meet the global and national targets specified in the Paris Agreement of 2016.
Carlo Corinaldesi +4 more
doaj +1 more source
Men and women with chronic insomnia disorder and OSAS: Different responses to CPAP [PDF]
Sleep Science, 2019 Objective: To evaluate the response to CPAP in patients with chronic insomnia disorder (CID) with OSAS in an unselected patient population including all OSAS severity groups.
Isabel Loução-de-Amorim +2 more
doaj +1 more source
Energy Strategy Reviews, 2022 This paper investigates a possible future business case for green hydrogen production from hydropower. The main research question is to find the trade-offs for a run-of-river hydropower plant owner between the currently prevailing business model of ...
Sebastian Zwickl-Bernhard, Hans Auer
doaj +1 more source
BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data [PDF]
Frontiers in Human Neuroscience, 2021 Deep neural networks (DNNs) used for brain–computer interface (BCI) classification are commonly expected to learn general features when trained across a variety of contexts, such that these features could be fine-tuned to specific contexts.
Demetres Kostas +2 more
semanticscholar +1 more source
Open Research Europe, 2022 Background: Energy communities and local electricity markets (e.g., as peer-to-peer trading) are on the rise due to increasingly decentralized electricity generation and favorable adjustment of the legal framework in many European countries.
Theresia Perger, Hans Auer
doaj +1 more source
International Conference on Data Technologies and Applications, 2023 Recently, there has been a growing research interest in utilizing the electroencephalogram (EEG) as a non-invasive diagnostic tool for neurodegenerative diseases.
Andreas Miltiadous +10 more
semanticscholar +1 more source
Focal EEG changes indicating critical illness associated cerebral microbleeds in a Covid-19 patient
Clinical Neurophysiology Practice, 2020 Objectives: We describe a patient suffering from Covid19-related acute respiratory distress syndrome (ARDS), highlighting the diagnostic role of the EEG in ICU.
Pia De Stefano +4 more
doaj +1 more source