Litcius/Paper detail

A comprehensive review of deep learning power in steady-state visual evoked potentials

Z.T. Al-Qaysi, A. S. Albahri, M. A. Ahmed, Rula A. Hamid, M. A. Alsalem, A. S. Albahri, A. H. Alamoodi, Raad Z. Homod, Ghadeer Ghazi Shayea, Ali M. Duhaim

2024Neural Computing and Applications23 citationsDOI

Topics & Concepts

Computational Science and EngineeringComputer scienceSteady state (chemistry)Visual evoked potentialsPower (physics)Artificial intelligenceNeuroscienceMachine learningPsychologyChemistryPhysicsThermodynamicsPhysical chemistryEEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringBlind Source Separation Techniques
A comprehensive review of deep learning power in steady-state visual evoked potentials | Litcius