2,651 to 2,660 of 7,428 Results
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
MS Excel Spreadsheet - 59.6 KB -
MD5: 38ab2e0a3372c01b62aff93a40c513ef
Diagnostic metadata file containing diagnostic attributes and summaries |
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
ZIP Archive - 25.4 KB -
MD5: aeaafc9817feac1fdc105bddbac667a7
frames and video metadata in csv format |
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
MS Excel Spreadsheet - 89.6 KB -
MD5: 915aef08be4b5b72f5a4f8cbc2174b2a
Frame and Video metadat file containing image and video names, paths and text-descriptions/labels. |
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
ZIP Archive - 3.7 GB -
MD5: 676f1ef6d598332fb985609e124734b4
Folder containing images and videos |
Jun 17, 2024 -
Replication Data for: CAPTIV8 : A comprehensive large scale CAPsule endoscopy dataset for Integrated diagnosis
ZIP Archive - 3.3 MB -
MD5: 40d912cdb695f742da209889f53ff74e
Colorchecker and checkerboard images/video for camera calibration |
Jun 14, 2024
Blust, Stefanie; Barroca, Pierre A.C.; Allouche, Yosr; Hafner, Armin, 2024, "Replication Data for: A numerical study of the R744 primary cooling system for ATLAS and CMS LHC detectors", https://doi.org/10.18710/YVECMK, DataverseNO, V2
A new R744 refrigeration system is needed to cool down the detectors, namely ATLAS and CMS, of the Large Hadron Collider (LHC) at CERN in Geneva. A R744-R744 cascade system is planned having a primary 2-stage compression loop and an oil-free, pumped secondary loop. To guarantee a stable and reliable operation of the plant, on one hand, two demonstr... |
Jun 14, 2024 -
Replication Data for: A numerical study of the R744 primary cooling system for ATLAS and CMS LHC detectors
Plain Text - 12.0 KB -
MD5: 35248f2b19fe7e9ede692a9afab02e08
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Jun 14, 2024 - NTNU Colourlab
Tabassum, Shaira; Amirshahi, Seyed Ali, 2024, "NeRF-4Scenes: A Video Dataset for Subjective Assessment of NeRF", https://doi.org/10.18710/LFHFJN, DataverseNO, V1
The dataset contains 36 NeRF-generated videos captured from four different indoor and outdoor environments: S1 for outdoor, S2 for auditorium, S3 for classroom, and S4 for lounge entrance. Each scene is trained using three NeRF models: Nerfacto as M1, Instant-NGP as M2, and Volinga as M3. Finally, each trained scene is rendered on three customized... |
ZIP Archive - 1.4 GB -
MD5: 83cc7e343559ad1b1f1542d8ef9993aa
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Adobe PDF - 4.7 MB -
MD5: 7dc0c99d121cd508561a743355a25f86
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