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.
Engineered Multilayer Microcapsules Based on Polysaccharides Nanomaterials
The preparation of microcapsules composed by natural materials have received great attention, as they represent promising systems for the moondrop quarks fabrication of micro-containers for controlled loading and release of active compounds, and for other applications.Using polysaccharides as the main materials is receiving increasing interest, as
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