Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model.
<p>Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852017400714625024 |
|---|---|
| author | Umme Ayman (22103987) |
| author2 | Md. Nahid Hasan (20883644) Ms. Nusrat Khan (22103990) Ms. Chayti Saha (22103993) Md. Fayejullah (22103996) |
| author2_role | author author author author |
| author_facet | Umme Ayman (22103987) Md. Nahid Hasan (20883644) Ms. Nusrat Khan (22103990) Ms. Chayti Saha (22103993) Md. Fayejullah (22103996) |
| author_role | author |
| dc.creator.none.fl_str_mv | Umme Ayman (22103987) Md. Nahid Hasan (20883644) Ms. Nusrat Khan (22103990) Ms. Chayti Saha (22103993) Md. Fayejullah (22103996) |
| dc.date.none.fl_str_mv | 2025-08-21T17:38:35Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0330186.g016 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Proposed_combined_model_a_training_and_test_accuracy_b_training_and_test_loss_c_ROC_curve_of_proposed_combined_model_/29961650 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Sociology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified rigorous preprocessing techniques preserve linguistic integrity gated recurrent unit experimental results demonstrate bengalitensecorpus &# 8221 500 manually collected stacked ensemble model stacked ensemble framework three tense classes strong performance benchmark intelligent writing tools deep learning methods bengali verb morphology 0 ), past meticulously labelled sentences support vector machine bangla language models language learning bengali sentences well ensemble writing assistance lstm ), incorporating tense improve performance based models sentences gathered xgboost classifier work presents term memory study addresses sentiment analysis sentence generation random forest neural network navigating tenses long short grammar correction grammar assistance first large findings highlight exploring transformer comprising 13 classification accuracy based systems bangla nlp 2 ). |
| dc.title.none.fl_str_mv | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_833bf0b8fca9bafee299fe1a08a0245f |
| identifier_str_mv | 10.1371/journal.pone.0330186.g016 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29961650 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model.Umme Ayman (22103987)Md. Nahid Hasan (20883644)Ms. Nusrat Khan (22103990)Ms. Chayti Saha (22103993)Md. Fayejullah (22103996)SociologyPlant BiologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedrigorous preprocessing techniquespreserve linguistic integritygated recurrent unitexperimental results demonstratebengalitensecorpus &# 8221500 manually collectedstacked ensemble modelstacked ensemble frameworkthree tense classesstrong performance benchmarkintelligent writing toolsdeep learning methodsbengali verb morphology0 ), pastmeticulously labelled sentencessupport vector machinebangla language modelslanguage learningbengali sentenceswell ensemblewriting assistancelstm ),incorporating tenseimprove performancebased modelssentences gatheredxgboost classifierwork presentsterm memorystudy addressessentiment analysissentence generationrandom forestneural networknavigating tenseslong shortgrammar correctiongrammar assistancefirst largefindings highlightexploring transformercomprising 13classification accuracybased systemsbangla nlp2 ).<p>Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model.</p>2025-08-21T17:38:35ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0330186.g016https://figshare.com/articles/figure/Proposed_combined_model_a_training_and_test_accuracy_b_training_and_test_loss_c_ROC_curve_of_proposed_combined_model_/29961650CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299616502025-08-21T17:38:35Z |
| spellingShingle | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. Umme Ayman (22103987) Sociology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified rigorous preprocessing techniques preserve linguistic integrity gated recurrent unit experimental results demonstrate bengalitensecorpus &# 8221 500 manually collected stacked ensemble model stacked ensemble framework three tense classes strong performance benchmark intelligent writing tools deep learning methods bengali verb morphology 0 ), past meticulously labelled sentences support vector machine bangla language models language learning bengali sentences well ensemble writing assistance lstm ), incorporating tense improve performance based models sentences gathered xgboost classifier work presents term memory study addresses sentiment analysis sentence generation random forest neural network navigating tenses long short grammar correction grammar assistance first large findings highlight exploring transformer comprising 13 classification accuracy based systems bangla nlp 2 ). |
| status_str | publishedVersion |
| title | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. |
| title_full | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. |
| title_fullStr | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. |
| title_full_unstemmed | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. |
| title_short | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. |
| title_sort | Proposed combined model (a) training and test accuracy (b) training and test loss (c) ROC curve of proposed combined model. |
| topic | Sociology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified rigorous preprocessing techniques preserve linguistic integrity gated recurrent unit experimental results demonstrate bengalitensecorpus &# 8221 500 manually collected stacked ensemble model stacked ensemble framework three tense classes strong performance benchmark intelligent writing tools deep learning methods bengali verb morphology 0 ), past meticulously labelled sentences support vector machine bangla language models language learning bengali sentences well ensemble writing assistance lstm ), incorporating tense improve performance based models sentences gathered xgboost classifier work presents term memory study addresses sentiment analysis sentence generation random forest neural network navigating tenses long short grammar correction grammar assistance first large findings highlight exploring transformer comprising 13 classification accuracy based systems bangla nlp 2 ). |