Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique.
<p>Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852025240582881280 |
|---|---|
| author | Saghir Ahmed (4416544) |
| author2 | Basit Raza (20175794) Lal Hussain (14100502) Touseef Sadiq (20175797) Ashit Kumar Dutta (11547381) |
| author2_role | author author author author |
| author_facet | Saghir Ahmed (4416544) Basit Raza (20175794) Lal Hussain (14100502) Touseef Sadiq (20175797) Ashit Kumar Dutta (11547381) |
| author_role | author |
| dc.creator.none.fl_str_mv | Saghir Ahmed (4416544) Basit Raza (20175794) Lal Hussain (14100502) Touseef Sadiq (20175797) Ashit Kumar Dutta (11547381) |
| dc.date.none.fl_str_mv | 2024-11-12T18:40:27Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0310011.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Multiclass_COVID-19_detection_by_utilizing_ESN-MDFS_Extreme_Smart_Network_using_mean_dropout_feature_selection_technique_/27681880 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cancer Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified publicly available sources promising significant advancements portable chest x novel approach called large dataset containing extreme smart network 000 cxr images model &# 8217 images encompass covid enhancing multiclass covid enhancing covid prediction mdfs model achieved 16 model 19 prediction trained vgg superior ability study explores study aimed research proposes optimize performance normal conditions normal cases meticulously addressed mdfs ). hyperparameter tuning fold cross findings demonstrate enhance multi data imbalance cxrs ). bacterial pneumonia |
| dc.title.none.fl_str_mv | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_ca6720cba7da4ba45f71d6bfcb5af079 |
| identifier_str_mv | 10.1371/journal.pone.0310011.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27681880 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique.Saghir Ahmed (4416544)Basit Raza (20175794)Lal Hussain (14100502)Touseef Sadiq (20175797)Ashit Kumar Dutta (11547381)CancerSpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedpublicly available sourcespromising significant advancementsportable chest xnovel approach calledlarge dataset containingextreme smart network000 cxr imagesmodel &# 8217images encompass covidenhancing multiclass covidenhancing covid predictionmdfs model achieved16 model19 predictiontrained vggsuperior abilitystudy exploresstudy aimedresearch proposesoptimize performancenormal conditionsnormal casesmeticulously addressedmdfs ).hyperparameter tuningfold crossfindings demonstrateenhance multidata imbalancecxrs ).bacterial pneumonia<p>Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique.</p>2024-11-12T18:40:27ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0310011.t003https://figshare.com/articles/dataset/Multiclass_COVID-19_detection_by_utilizing_ESN-MDFS_Extreme_Smart_Network_using_mean_dropout_feature_selection_technique_/27681880CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/276818802024-11-12T18:40:27Z |
| spellingShingle | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. Saghir Ahmed (4416544) Cancer Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified publicly available sources promising significant advancements portable chest x novel approach called large dataset containing extreme smart network 000 cxr images model &# 8217 images encompass covid enhancing multiclass covid enhancing covid prediction mdfs model achieved 16 model 19 prediction trained vgg superior ability study explores study aimed research proposes optimize performance normal conditions normal cases meticulously addressed mdfs ). hyperparameter tuning fold cross findings demonstrate enhance multi data imbalance cxrs ). bacterial pneumonia |
| status_str | publishedVersion |
| title | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. |
| title_full | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. |
| title_fullStr | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. |
| title_full_unstemmed | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. |
| title_short | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. |
| title_sort | Multiclass COVID-19 detection by utilizing ESN-MDFS: Extreme Smart Network using mean dropout feature selection technique. |
| topic | Cancer Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified publicly available sources promising significant advancements portable chest x novel approach called large dataset containing extreme smart network 000 cxr images model &# 8217 images encompass covid enhancing multiclass covid enhancing covid prediction mdfs model achieved 16 model 19 prediction trained vgg superior ability study explores study aimed research proposes optimize performance normal conditions normal cases meticulously addressed mdfs ). hyperparameter tuning fold cross findings demonstrate enhance multi data imbalance cxrs ). bacterial pneumonia |