مشروع البحث: Development of High Efficiency Optimization Algorithm based on New Topology in Particle Swarm Optimization for Parkinson’s Disease
| dc.contributor.advisor | أ.د. أوميت توكسر | |
| dc.date.accessioned | 2024-12-11T10:36:45Z | |
| dc.date.available | 2024-12-11T10:36:45Z | |
| dc.description | Also, the ant colony optimization method and the genetic algorithm has been used to reduce the features number from the dataset. For classification the support vector machine is used and compared with other methods. Also, for performance analysis the confusion matrix is used | |
| dc.description.abstract | Parkinson’s disease is a progressive neurodegenerative disorder, where new cells in the brain die slowly over time due to the loss of the substantia nigra causing the lack of dopamine. In order to tackle the accurate diagnosis of Parkinson disease issue, this research proposes to design of a new algorithm to efficiently discern Parkinson’s disease patients from the healthy individuals using the binary particle swarm optimization method | |
| dc.identifier | 235 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/810 | |
| dc.subject | Parkinson’s Disease | |
| dc.title | Development of High Efficiency Optimization Algorithm based on New Topology in Particle Swarm Optimization for Parkinson’s Disease | |
| dspace.entity.type | Project | |
| project.endDate | 2024 | |
| project.funder.name | رياضيات | |
| project.investigator | حواء احمد الرويان | |
| project.startDate | 2023 | |
| relation.isOrgUnitOfProject | abd0d318-9280-4b6c-a480-6db4a3a7c674 | |
| relation.isOrgUnitOfProject.latestForDiscovery | abd0d318-9280-4b6c-a480-6db4a3a7c674 |