Results 101 to 110 of about 36,878 (289)

Review on the Use of Brain Computer Interface Rehabilitation Methods for Treating Mental and Neurological Conditions

open access: yesJournal of Integrative Neuroscience
This review provides a comprehensive examination of recent developments in both neurofeedback and brain-computer interface (BCI) within the medical field and rehabilitation.
Vladimir Khorev   +9 more
doaj   +1 more source

Green Transformational Leadership, GHRM, and Pro‐Environmental Behavior: Pathways to Sustainable Healthcare

open access: yesSustainable Development, EarlyView.
ABSTRACT This study examines the impact of green transformational leadership, green human resource management, and pro‐environmental behavior on sustainable performance. Despite the increasing emphasis on environmental sustainability, the mechanisms through which organizational practices translate into sustainable outcomes remain insufficiently ...
Sharifa Khalid. Mousa   +2 more
wiley   +1 more source

Urban Housing Markets and Sustainability Risk: Empirical Evidence From South African Cities

open access: yesSustainable Development, EarlyView.
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

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing [PDF]

open access: yes, 2013
Brain computer interfaces (BCI) provide a new approach to human computer communication, where the control is realised via performing mental tasks such as motor imagery (MI).
Gan, John Q   +3 more
core   +1 more source

EEG signal ANFIS classification for motor imagery for different joints of the same limb

open access: yesVojnotehnički Glasnik
Introduction: The experimental area of brain-computer interfaces (BCIs) is expanding to include movement actions, which play a crucial part in deciphering cognitive processes.
Ihab A. Satam
doaj   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

open access: yesSmartBot, EarlyView.
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

Towards the control of a cursor on the screen using a 4-class mi based BCI

open access: yes, 2023
openBrain-computer interfaces (BCIs) offer an alternative method of communication between the subject and the external environment, without relying on conventional communication channels.
ZANCHI, LUCA
core  

Neurophysiological correlates of mind-wandering, towards a predictive BCI-based neurofeedback [PDF]

open access: yes, 2016
A brain computer interface (BCI) able to predict the disengagement of attention, e.g. mind-wandering episodes, regardless of the task being performed bears useful applications. Converging neuroscientific evidence has determined that our ability to remain
Martel, A.   +3 more
core   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Inferring processes within dynamic forest models using hybrid modelling

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Modelling forest dynamics under novel climatic conditions requires a careful balance between process‐based understanding and empirical flexibility. Dynamic vegetation models (DVM) represent ecological processes mechanistically, but their performance is sensitive to misspecified functional forms and to unavoidable structural simplifications ...
Maximilian Pichler, Yannek Käber
wiley   +1 more source

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