2026-10-06T04:22:46Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34004187 2026-09-27T04:34:25Z category_29173 category_28933 item_type_3 month_year_09_2026

De-identified Feature Embeddings and Labels for XJTU Campus Facility Maintenance (DAGF-Net) chen liu (25114080) ying zhu (23603343) xiaojuan cai (25115359) Machine learning not elsewhere classified Data mining and knowledge discovery Campus Facility Maintenance Multimodal Learning DAGF-Net Fault Diagnosis BERT ResNet-50 <p dir="ltr">This dataset contains the de-identified feature embeddings and labels used to train and evaluate the DAGF-Net model in the manuscript "An Intelligent Campus Facility Maintenance Framework: Multimodal Fault Diagnosis and Dynamic Resource Scheduling".<b>File Contents:</b></p><ul><li><code>resnet_features.npy</code>: Image features extracted by ResNet-50 (Shape: 12527 x 2048).</li><li><code>bert_features.npy</code>: Text features extracted by BERT-base-chinese (Shape: 12527 x 768).</li><li><code>labels.npy</code>: Integer labels corresponding to the 11 core maintenance categories.</li><li><code>class_names.txt</code>: Mapping of integer labels to category names.</li></ul><p dir="ltr"><b>Privacy Note:</b> To strictly comply with campus privacy regulations, raw images and raw text logs are withheld. However, these pre-extracted feature matrices allow researchers to fully reproduce the classification results (Tables 2, 3, and 4) and the ablation studies reported in the manuscript.</p> 2026-09-27T04:34:25Z Dataset Dataset 10.6084/m9.figshare.34004187.v2 https://figshare.com/articles/dataset/De-identified_Feature_Embeddings_and_Labels_for_XJTU_Campus_Facility_Maintenance_DAGF-Net_/34004187 CC BY 4.0