Prediction percentage distribution using different algorithms applied in our research.
<p>Prediction percentage distribution using different algorithms applied in our research.</p>
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2025
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| _version_ | 1852014874904756224 |
|---|---|
| author | Md Junayed Hossain (22615268) |
| author2 | Jannatul Ferdaus (22140270) Ashraful Islam (1283403) M. Ashraful Amin (22615271) |
| author2_role | author author author |
| author_facet | Md Junayed Hossain (22615268) Jannatul Ferdaus (22140270) Ashraful Islam (1283403) M. Ashraful Amin (22615271) |
| author_role | author |
| dc.creator.none.fl_str_mv | Md Junayed Hossain (22615268) Jannatul Ferdaus (22140270) Ashraful Islam (1283403) M. Ashraful Amin (22615271) |
| dc.date.none.fl_str_mv | 2025-11-13T18:52:53Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0336434.g011 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Prediction_percentage_distribution_using_different_algorithms_applied_in_our_research_/30614246 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Sociology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified precise feature extraction mean absolute error less accurate predictions error case analysis demonstrates superior accuracy input data quality effective farm management pretrained efficientnetb3 model model significantly surpasses traditional manual methods associated weight data livestock weight estimation explainable cnn framework traditional regression models traditional methods weight estimation image data linear regression framework designed effective approach weight prediction cattle weight yolov5 algorithm study emphasizes results show recent advances random forest provide insights productivity optimization one variation mse ), making process low mae including normalization histogram equalization health assessment first leveraged face challenges especially cnn deep learning custom cnn conventional models computer vision cnn models cnn ). cattle images based approach 85 kg 02 kg |
| dc.title.none.fl_str_mv | Prediction percentage distribution using different algorithms applied in our research. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Prediction percentage distribution using different algorithms applied in our research.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_f72ce4f71efa1c2f2e186cbc55a1d4cf |
| identifier_str_mv | 10.1371/journal.pone.0336434.g011 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30614246 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Prediction percentage distribution using different algorithms applied in our research.Md Junayed Hossain (22615268)Jannatul Ferdaus (22140270)Ashraful Islam (1283403)M. Ashraful Amin (22615271)SociologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedprecise feature extractionmean absolute errorless accurate predictionserror case analysisdemonstrates superior accuracyinput data qualityeffective farm managementpretrained efficientnetb3 modelmodel significantly surpassestraditional manual methodsassociated weight datalivestock weight estimationexplainable cnn frameworktraditional regression modelstraditional methodsweight estimationimage datalinear regressionframework designedeffective approachweight predictioncattle weightyolov5 algorithmstudy emphasizesresults showrecent advancesrandom forestprovide insightsproductivity optimizationone variationmse ),making processlow maeincluding normalizationhistogram equalizationhealth assessmentfirst leveragedface challengesespecially cnndeep learningcustom cnnconventional modelscomputer visioncnn modelscnn ).cattle imagesbased approach85 kg02 kg<p>Prediction percentage distribution using different algorithms applied in our research.</p>2025-11-13T18:52:53ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0336434.g011https://figshare.com/articles/figure/Prediction_percentage_distribution_using_different_algorithms_applied_in_our_research_/30614246CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306142462025-11-13T18:52:53Z |
| spellingShingle | Prediction percentage distribution using different algorithms applied in our research. Md Junayed Hossain (22615268) Sociology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified precise feature extraction mean absolute error less accurate predictions error case analysis demonstrates superior accuracy input data quality effective farm management pretrained efficientnetb3 model model significantly surpasses traditional manual methods associated weight data livestock weight estimation explainable cnn framework traditional regression models traditional methods weight estimation image data linear regression framework designed effective approach weight prediction cattle weight yolov5 algorithm study emphasizes results show recent advances random forest provide insights productivity optimization one variation mse ), making process low mae including normalization histogram equalization health assessment first leveraged face challenges especially cnn deep learning custom cnn conventional models computer vision cnn models cnn ). cattle images based approach 85 kg 02 kg |
| status_str | publishedVersion |
| title | Prediction percentage distribution using different algorithms applied in our research. |
| title_full | Prediction percentage distribution using different algorithms applied in our research. |
| title_fullStr | Prediction percentage distribution using different algorithms applied in our research. |
| title_full_unstemmed | Prediction percentage distribution using different algorithms applied in our research. |
| title_short | Prediction percentage distribution using different algorithms applied in our research. |
| title_sort | Prediction percentage distribution using different algorithms applied in our research. |
| topic | Sociology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified precise feature extraction mean absolute error less accurate predictions error case analysis demonstrates superior accuracy input data quality effective farm management pretrained efficientnetb3 model model significantly surpasses traditional manual methods associated weight data livestock weight estimation explainable cnn framework traditional regression models traditional methods weight estimation image data linear regression framework designed effective approach weight prediction cattle weight yolov5 algorithm study emphasizes results show recent advances random forest provide insights productivity optimization one variation mse ), making process low mae including normalization histogram equalization health assessment first leveraged face challenges especially cnn deep learning custom cnn conventional models computer vision cnn models cnn ). cattle images based approach 85 kg 02 kg |