{"id":21697611,"url":"https://github.com/tajiknomi/ga-based-feature-selection","last_synced_at":"2025-10-11T16:12:20.973Z","repository":{"id":251343682,"uuid":"837087554","full_name":"tajiknomi/GA-Based-Feature-Selection","owner":"tajiknomi","description":"Texture Feature Selection Using GA for Classification of Human Brain MRI Scans","archived":false,"fork":false,"pushed_at":"2024-08-05T04:28:14.000Z","size":2618,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-25T14:24:11.136Z","etag":null,"topics":["genetic-algorithm","machine-learning","matlab","matlab-script","supervised-learning"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tajiknomi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-02T07:26:10.000Z","updated_at":"2024-08-19T03:56:46.000Z","dependencies_parsed_at":"2024-11-25T19:34:33.093Z","dependency_job_id":"880fb705-106b-4ba5-95be-9cbd48387fb3","html_url":"https://github.com/tajiknomi/GA-Based-Feature-Selection","commit_stats":null,"previous_names":["tajiknomi/ga-based-feature-selection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tajiknomi%2FGA-Based-Feature-Selection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tajiknomi%2FGA-Based-Feature-Selection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tajiknomi%2FGA-Based-Feature-Selection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tajiknomi%2FGA-Based-Feature-Selection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tajiknomi","download_url":"https://codeload.github.com/tajiknomi/GA-Based-Feature-Selection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244637102,"owners_count":20485446,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["genetic-algorithm","machine-learning","matlab","matlab-script","supervised-learning"],"created_at":"2024-11-25T19:28:35.838Z","updated_at":"2025-10-11T16:12:15.943Z","avatar_url":"https://github.com/tajiknomi.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"### Intro\n\nThe research paper \"*Texture Feature Selection Using GA for Classification of Human Brain MRI Scans*\" explores the use of Genetic Algorithms (GA) for selecting optimal texture features in the classification of brain MRI scans. The study demonstrates that GA can effectively identify relevant features that improve classification accuracy in distinguishing between normal and abnormal brain tissues. This approach enhances the diagnostic process by optimizing feature selection, leading to more accurate and efficient MRI scan analysis.\n\nThe paper is published in the [International Conference on swarm intelligence 2016](https://link.springer.com/chapter/10.1007/978-3-319-41009-8_25)\n\n\n### Implementation\n\nMATLAB scripts are used for pre-processing, evaluation and plotting. All the scripts are available in the repository.\n\n### Details\n\nThe accompanying presentation offers a clear and accessible overview of the project, complementing the [published paper](https://link.springer.com/chapter/10.1007/978-3-319-41009-8_25) with detailed explanations, visuals, and results.\n\n### Note\nThe project was done in 2015-16 so it is no longer supported for improvement by the author.\n\n### Contribution\n\nDr Atiq-Rehman-Jadoon, [Dr Waleed Khan](https://www.linkedin.com/in/khanwaleed247?utm_source=share\u0026utm_campaign=share_via\u0026utm_content=profile\u0026utm_medium=android_app)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftajiknomi%2Fga-based-feature-selection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftajiknomi%2Fga-based-feature-selection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftajiknomi%2Fga-based-feature-selection/lists"}