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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Ali Razaa",
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  "author": "Ali Razaa",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.1016/j.knosys.2021.107763",
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  "defined_in": "https://doi.org/10.1016/j.knosys.2021.107763",
            
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  "doi": "10.57702/d7uioz7b",
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  "doi": "10.57702/d7uioz7b",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Kim Phuc Tran",
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      "extra_author": "Kim Phuc Tran",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Ludovic Koehla",
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      "extra_author": "Ludovic Koehla",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Shujun Li",
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      "extra_author": "Shujun Li",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Arrhythmia Detection",
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      "name": "arrhythmia-detection",
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      "name": "arrhythmia-detection",
            
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      "title": "Arrhythmia Detection"
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      "title": "Arrhythmia Detection"
            
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    },
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Deep Learning",
            
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      "name": "deep-learning",
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      "name": "deep-learning",
            
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      "name": "ecg-analysis",
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      "name": "ecg-analysis",
            
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      "title": "ECG Analysis"
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      "title": "ECG Analysis"
            
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    },
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      "description": "",
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      "name": "federated-learning",
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      "name": "federated-learning",
            
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      "title": "Federated Learning"
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      "title": "Federated Learning"
            
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  "landing_page": "https://arxiv.org/abs/2103.12345",
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  "landing_page": "https://arxiv.org/abs/2103.12345",
            
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  "metadata_created": "2024-12-02T21:53:15.787239",
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  "metadata_created": "2024-12-02T21:53:15.787239",
            
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  "metadata_modified": "2024-12-02T21:53:16.311300",
            
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  "name": "proposed-framework",
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  "name": "proposed-framework",
            
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  "notes": "The proposed framework aims to address the limitations of 
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  "notes": "The proposed framework aims to address the limitations of 
            
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deep learning applications for ECG signal classi\ufb01cation. 
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deep learning applications for ECG signal classi\ufb01cation. 
            
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Secondly, we proposed a new classi\ufb01er for ECG signals. When the 
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Secondly, we proposed a new classi\ufb01er for ECG signals. When the 
            
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classi\ufb01er was trained in federated settings it was able to 
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classi\ufb01er was trained in federated settings it was able to 
            
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improve the overall classi\ufb01cation performance of the edge 
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improve the overall classi\ufb01cation performance of the edge 
            
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devices.",
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devices.",
            
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distributions based on DCAT.",
            
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      "display_name": "ECG",
            
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      "id": "ccfae47f-089b-4315-bf52-aac716b895bb",
            
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      "name": "ECG",
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      "name": "ECG",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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    },
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      "display_name": "Federated Learning",
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      "display_name": "Federated Learning",
            
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      "vocabulary_id": null
            
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  ],
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  ],
            
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  "title": "Proposed Framework",
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  "title": "Proposed Framework",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}