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 performance.

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Optimization of High-temperature and High-pressure Triaxial Testing Machine Control System Based on Particle Swarm Algorithm

By combining particle bostik roll-cote swarm algorithm (PSO) with conventional PID, the hydraulic and temperature control systems of high-temperature and high-pressure triaxial testing machine was analyzed and studied, the mathematical models of hydraulic system and temperature control system were established.The performance of the control system u

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