The AI-driven interface employs real-time tracking of human behaviour using EEG signals, heart rate fluctuations, and pupil ...

Advancing the interaction between humans and AI, the AI Research Centre of Woxsen University has developed an AI-driven Neuro ...

Parsec Automation (Parsec), developer of the MES TrakSYStm, today announced a strategic collaboration with Microsoft that previews new AI-powered capabilities for manufacturing organizations. This ...

To tackle this issue, this article proposes an adaptive attention-modulated graph network (AdamGraph) to enhance the subject adaptability of EEG emotion recognition against connection variability and ...

CervoMed's stock soars 400% on promising dementia drug data. See more on insights, potential concerns, and what it means for ...

Based on this insight, we propose an EEG-based epilepsy detection method with graph correlation analysis (EEG-GCA), by detecting abnormal channels and segments based on the analysis of inter-channel ...

To provide the prediction model with more powerful and abundant data, we enhance overall consideration of dimensions about epilepsy EEG signals. In particular, we take multichannel spatial ...

For distance-based EEG graph, we provide the pre-computed adjacency matrix in ./data/electrode_graph. For correlation-based EEG graphs, adjacency matrices can be obtained from the respective ...

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What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Objective Asthma and type 2 diabetes are two important causes of morbidity globally. We examined both the association of type ...