Results 121 to 130 of about 44,055 (290)
BRAIN COMPUTER INTERFACE - Application of an Adaptive Bi-stage Classifier based on RBF-HMM [PDF]
Brain Computer Interface is an emerging technology that allows new output paths to communicate the users intentions without the use of normal output paths, such as muscles or nerves. In order to obtain their objective, BCI devices make use of classifiers
Barrientos Cruz, Antonio +1 more
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Urban Housing Markets and Sustainability Risk: Empirical Evidence From South African Cities
ABSTRACT Despite the global shift toward sustainability and rising expectations for socially and environmentally responsible housing, evidence from South Africa's urban markets remains limited and underexplored. This study examines how sustainability‐related vulnerabilities shape downside housing risk across 60 cities between 2002 and 2021.
Bereket A. Ataro +2 more
wiley +1 more source
ABSTRACT How do governance quality and corruption jointly shape sustainable development? We analyze an unbalanced panel of 38 Sub‐Saharan African countries (2002–2021) employing PCSE and FGLS estimators. The model also includes controls for health expenditure, digitalization, unemployment, trade openness, and GDP.
Deniz Erenel +2 more
wiley +1 more source
BCI move: exploring pediatric BCI-controlled power mobility
IntroductionChildren and young people (CYP) with severe physical disabilities often experience barriers to independent mobility, placing them at risk for developmental impairments and restricting their independence and participation. Pilot work suggests that brain-computer interface (BCIs) could enable powered mobility control for children with motor ...
Leah Hammond +12 more
openaire +3 more sources
Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han +3 more
wiley +1 more source
Development of a closed-loop BCI based on covert visuospatial attention [PDF]
openI sistemi moderni di Brain-Computer Interface (BCI) hanno portato un grande progresso tecnologico, rendendo permissivi alcuni compiti, specifici e/o mondani, anche per soggetti affetti da condizioni di disabilità a cui prima risultavano essere ...
AVELLINI, RICCARDO
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Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces [PDF]
Riechmann H, Finke A. Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces. In: ESANN 2012 proceedings. i6doc.com; 2012: 121-126.Non-stationarity is inherent in EEG data.
Riechmann, Hannes +1 more
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We combined microscopic screening and molecular phylogenetic analyses to characterize blood parasites infecting Gallotia intermedia from the coastal cliffs of Montaña de Guaza and to place these infections in a broader biogeographic context. We detected apicomplexan parasites of the genus Karyolysus infecting 53.6% of G.
Rodrigo Megía‐Palma +8 more
wiley +1 more source
Dysphagia, a common swallowing disorder particularly prevalent among older adults and often associated with neurological conditions, significantly affects individuals’ quality of life by negatively impacting their eating habits, physical health, and ...
Aslan Sevgi Gökçe, Yılmaz Bülent
doaj +1 more source

