Delay-Aligned Network Boosts Decoding in Hybrid Brain–Computer Interfaces
Researchers developed NVC-DSDNet to align neurovascular delays and disentangle multimodal features in hybrid EEG–fNIRS brain–computer interfaces.
Researchers developed NVC-DSDNet to align neurovascular delays and disentangle multimodal features in hybrid EEG–fNIRS brain–computer interfaces.
Published in Boundary Value Problems, a study investigates the relative controllability of neutral semilinear systems with ψ-Prabhakar Caputo-type derivatives and ...
A fuzzy logic-based system that jointly weighs CPU utilization, memory usage, and task queue length outperformed baseline algorithms in simulated ...
A qualitative study of 21 Turkish women diagnosed with advanced-stage breast cancer identifies limited awareness, fear and denial, and health-system ...
A retrospective study of 183 patients found that wake-up symptom recognition was associated with longer diagnostic delays, while persistent and ...
Human EEG recordings show that a working-memory-associated signal reverses lateralization as remembered objects cross the visual midline, a pattern consistent ...
Every day a tuberculosis infection goes undiagnosed, the bacterium quietly damages lung tissue while the patient's savings drain away. A ...
A prospective cohort study in Ho Chi Minh City found that nearly two-thirds of very and extremely preterm infants showed ...
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© 2025 Scienmag - Science Magazine