MULTI-TASK COLLABORATIVE NETWORK: BRIDGE THE SUPERVISED AND SELF-SUPERVISED LEARNING FOR EEG CLASSIFICATION IN RSVP TASKS

Multi-Task Collaborative Network: Bridge the Supervised and Self-Supervised Learning for EEG Classification in RSVP Tasks

Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals and unquantifiable noisy labels, which hinder the classification performance in rapid serial visual presentation (RSVP) tasks.Previous approaches primarily relied on supervised learning (SL), which may result in overfitting and reduced generalization Carving perf

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Mitigation of the hyperglycemic effect of streptozotocin-induced diabetes albino rats using biosynthesized copper oxide nanoparticles

Diabetes mellitus is a metabolic disorder described by compromised insulin synthesis or resistance to insulin inside the SIDE BOARD human body.Diabetes is a persistent metabolic condition defined by elevated amounts of glucose in the bloodstream, resulting in a range of potential consequences.The main purpose of this study was to find out how biosy

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