Sample data of the project in the past six months.
<p>Sample data of the project in the past six months.</p>
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2025
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| _version_ | 1852019785906257920 |
|---|---|
| author | Xuwei Liu (6034592) |
| author2 | Wenting Tang (2627902) Lisha Si (21463912) Yongde Li (13544376) |
| author2_role | author author author |
| author_facet | Xuwei Liu (6034592) Wenting Tang (2627902) Lisha Si (21463912) Yongde Li (13544376) |
| author_role | author |
| dc.creator.none.fl_str_mv | Xuwei Liu (6034592) Wenting Tang (2627902) Lisha Si (21463912) Yongde Li (13544376) |
| dc.date.none.fl_str_mv | 2025-06-02T17:29:39Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0324854.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Sample_data_of_the_project_in_the_past_six_months_/29213686 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified quota compilation efficiency prediction error rates mean squared errors cost savings rates average absolute errors artificial neural networks artificial neural network electrical installation engineering consumption quota compilation mechanical equipment use mechanical equipment usage proposed model achieved 48 %, respectively 48 %, 1 21 %, 4 1 %, respectively 1 %, material consumption engineering budgeting 85 %, 25 %, research model model performance designed model 1 %. xlink "> traditional models testing sets statistical theory results showed relatively low regularization techniques prefabricated components prefabricated buildings material resources large workload labor hours economic benefits determination coefficients 8 %, 4 %. |
| dc.title.none.fl_str_mv | Sample data of the project in the past six months. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Sample data of the project in the past six months.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_fb9f9fade631e2fbf8f2bae5fc1d0c8c |
| identifier_str_mv | 10.1371/journal.pone.0324854.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29213686 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Sample data of the project in the past six months.Xuwei Liu (6034592)Wenting Tang (2627902)Lisha Si (21463912)Yongde Li (13544376)BiophysicsBiotechnologyScience PolicySpace ScienceBiological Sciences not elsewhere classifiedquota compilation efficiencyprediction error ratesmean squared errorscost savings ratesaverage absolute errorsartificial neural networksartificial neural networkelectrical installation engineeringconsumption quota compilationmechanical equipment usemechanical equipment usageproposed model achieved48 %, respectively48 %, 121 %, 41 %, respectively1 %,material consumptionengineering budgeting85 %,25 %,research modelmodel performancedesigned model1 %.xlink ">traditional modelstesting setsstatistical theoryresults showedrelatively lowregularization techniquesprefabricated componentsprefabricated buildingsmaterial resourceslarge workloadlabor hourseconomic benefitsdetermination coefficients8 %,4 %.<p>Sample data of the project in the past six months.</p>2025-06-02T17:29:39ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0324854.t003https://figshare.com/articles/dataset/Sample_data_of_the_project_in_the_past_six_months_/29213686CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292136862025-06-02T17:29:39Z |
| spellingShingle | Sample data of the project in the past six months. Xuwei Liu (6034592) Biophysics Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified quota compilation efficiency prediction error rates mean squared errors cost savings rates average absolute errors artificial neural networks artificial neural network electrical installation engineering consumption quota compilation mechanical equipment use mechanical equipment usage proposed model achieved 48 %, respectively 48 %, 1 21 %, 4 1 %, respectively 1 %, material consumption engineering budgeting 85 %, 25 %, research model model performance designed model 1 %. xlink "> traditional models testing sets statistical theory results showed relatively low regularization techniques prefabricated components prefabricated buildings material resources large workload labor hours economic benefits determination coefficients 8 %, 4 %. |
| status_str | publishedVersion |
| title | Sample data of the project in the past six months. |
| title_full | Sample data of the project in the past six months. |
| title_fullStr | Sample data of the project in the past six months. |
| title_full_unstemmed | Sample data of the project in the past six months. |
| title_short | Sample data of the project in the past six months. |
| title_sort | Sample data of the project in the past six months. |
| topic | Biophysics Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified quota compilation efficiency prediction error rates mean squared errors cost savings rates average absolute errors artificial neural networks artificial neural network electrical installation engineering consumption quota compilation mechanical equipment use mechanical equipment usage proposed model achieved 48 %, respectively 48 %, 1 21 %, 4 1 %, respectively 1 %, material consumption engineering budgeting 85 %, 25 %, research model model performance designed model 1 %. xlink "> traditional models testing sets statistical theory results showed relatively low regularization techniques prefabricated components prefabricated buildings material resources large workload labor hours economic benefits determination coefficients 8 %, 4 %. |