Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.
<p>Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.</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_ | 1852019788443811840 |
|---|---|
| author | Ahmed M. Elshewey (21463867) |
| author2 | Amel Ali Alhussan (19704614) Doaa Sami Khafaga (21463870) Marwa Radwan (21463873) El-Sayed M. El-kenawy (14581088) Nima Khodadadi (14581091) |
| author2_role | author author author author author |
| author_facet | Ahmed M. Elshewey (21463867) Amel Ali Alhussan (19704614) Doaa Sami Khafaga (21463870) Marwa Radwan (21463873) El-Sayed M. El-kenawy (14581088) Nima Khodadadi (14581091) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ahmed M. Elshewey (21463867) Amel Ali Alhussan (19704614) Doaa Sami Khafaga (21463870) Marwa Radwan (21463873) El-Sayed M. El-kenawy (14581088) Nima Khodadadi (14581091) |
| dc.date.none.fl_str_mv | 2025-06-02T17:24:48Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0317554.g004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Analysis_plots_of_the_obtained_results_using_the_proposed_AD-PSO-Guided_WOA_LSTM_algorithm_/29213332 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Ecology Biological Sciences not elsewhere classified Information Systems not elsewhere classified making educated decisions balancing global search associated meteorological circumstances analyzing different types metaheuristic algorithms shine conventional optimization algorithms water resource management rf ), multi early convergence problem understanding rainfall patterns precise weather forecasting guided woa algorithm five different models effectively balances exploration div >< p rainfall prediction depends weather forecasting guided woa rainfall prediction original algorithms water resources premature convergence lstm ), rainfall according various applications term memory superior efficacy suggested methodology study introduces results demonstrate related phenomena nearest neighbor many components machine learning long short local refinement layer perceptron knn ). greater comprehension effective use desired features decision trees binary format best results |
| dc.title.none.fl_str_mv | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_a7ed59a2d69a2ccaf7ea89f1fbc04a95 |
| identifier_str_mv | 10.1371/journal.pone.0317554.g004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29213332 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.Ahmed M. Elshewey (21463867)Amel Ali Alhussan (19704614)Doaa Sami Khafaga (21463870)Marwa Radwan (21463873)El-Sayed M. El-kenawy (14581088)Nima Khodadadi (14581091)EcologyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedmaking educated decisionsbalancing global searchassociated meteorological circumstancesanalyzing different typesmetaheuristic algorithms shineconventional optimization algorithmswater resource managementrf ), multiearly convergence problemunderstanding rainfall patternsprecise weather forecastingguided woa algorithmfive different modelseffectively balances explorationdiv >< prainfall prediction dependsweather forecastingguided woarainfall predictionoriginal algorithmswater resourcespremature convergencelstm ),rainfall accordingvarious applicationsterm memorysuperior efficacysuggested methodologystudy introducesresults demonstraterelated phenomenanearest neighbormany componentsmachine learninglong shortlocal refinementlayer perceptronknn ).greater comprehensioneffective usedesired featuresdecision treesbinary formatbest results<p>Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.</p>2025-06-02T17:24:48ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0317554.g004https://figshare.com/articles/figure/Analysis_plots_of_the_obtained_results_using_the_proposed_AD-PSO-Guided_WOA_LSTM_algorithm_/29213332CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292133322025-06-02T17:24:48Z |
| spellingShingle | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. Ahmed M. Elshewey (21463867) Ecology Biological Sciences not elsewhere classified Information Systems not elsewhere classified making educated decisions balancing global search associated meteorological circumstances analyzing different types metaheuristic algorithms shine conventional optimization algorithms water resource management rf ), multi early convergence problem understanding rainfall patterns precise weather forecasting guided woa algorithm five different models effectively balances exploration div >< p rainfall prediction depends weather forecasting guided woa rainfall prediction original algorithms water resources premature convergence lstm ), rainfall according various applications term memory superior efficacy suggested methodology study introduces results demonstrate related phenomena nearest neighbor many components machine learning long short local refinement layer perceptron knn ). greater comprehension effective use desired features decision trees binary format best results |
| status_str | publishedVersion |
| title | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. |
| title_full | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. |
| title_fullStr | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. |
| title_full_unstemmed | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. |
| title_short | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. |
| title_sort | Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. |
| topic | Ecology Biological Sciences not elsewhere classified Information Systems not elsewhere classified making educated decisions balancing global search associated meteorological circumstances analyzing different types metaheuristic algorithms shine conventional optimization algorithms water resource management rf ), multi early convergence problem understanding rainfall patterns precise weather forecasting guided woa algorithm five different models effectively balances exploration div >< p rainfall prediction depends weather forecasting guided woa rainfall prediction original algorithms water resources premature convergence lstm ), rainfall according various applications term memory superior efficacy suggested methodology study introduces results demonstrate related phenomena nearest neighbor many components machine learning long short local refinement layer perceptron knn ). greater comprehension effective use desired features decision trees binary format best results |