Cargando…
A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer's Disease Using EEG Signal
Recent researchers have been drawn to the analysis of electroencephalogram (EEG) signals in order to confirm the disease and severity range by viewing the EEG signal which has complicated the dataset. The conventional models such as machine learning, classifiers, and other mathematical models achiev...
Autor principal: | Swarnalatha, R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977523/ https://www.ncbi.nlm.nih.gov/pubmed/36873383 http://dx.doi.org/10.1155/2023/4808841 |
Ejemplares similares
-
Optimal Greedy Control in Reinforcement Learning
por: Gorobtsov, Alexander, et al.
Publicado: (2022) -
Greedy parameter optimization for diabatic quantum annealing
por: Kadowaki, Tadashi, et al.
Publicado: (2023) -
Quantum-enhanced greedy combinatorial optimization solver
por: Dupont, Maxime, et al.
Publicado: (2023) -
Greedy Approximation
por: Temlyakov, Vladimir
Publicado: (2011) -
Optimization by GRASP: greedy randomized adaptive search procedures
por: Resende, Mauricio G C, et al.
Publicado: (2016)