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2,601 to 2,610 of 7,224 Results

Figure_7.png Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements PNG Image - 470.8 KB - MD5: ac6b84f1d95d93de9cdaa529437f11eb
Figure_8_data.txt Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements Plain Text - 34.9 KB - MD5: f6c79f118683331433cc5e4170278a40
Figure_8.png Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements PNG Image - 886.0 KB - MD5: 5b746397cda1a7d6aaec25e1f3d05e5b
Figure_9_data.txt Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements Plain Text - 291 B - MD5: d8c504a1819ff8a7e00799df92a324ec
Figure_9.png Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements PNG Image - 508.7 KB - MD5: c1df47451ca686a32e5d5e013a36cd46
Questionnaire and interview data on passenger safety perception during autonomous ferry public trials Jun 5, 2024 Veitch, Erik, 2023, "Questionnaire and interview data on passenger safety perception during autonomous ferry public trials", https://doi.org/10.18710/CFBQSN, DataverseNO, V4 Results of questionnaires and interviews conducted with passengers aboard the autonomous ferry "milliAmpere2" during field trials in period 21 Sep to 2 Oct 2022.
00_README.txt Jun 5, 2024 - Questionnaire and interview data on passenger safety perception during autonomous ferry public trials Plain Text - 11.8 KB - MD5: 0a22147da39a34b00a20aacfdb8af3bd
Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations May 10, 2024 - NTNU Colourlab Vats, Anuja, 2024, "Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations", https://doi.org/10.18710/HSMJLL, DataverseNO, V1 The dataset comprises the pretraining and testing data for our work: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. The pretaining data consists of images corresponding to the Digital Surface Models (DS...
00_ReadMe.txt May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations Plain Text - 4.9 KB - MD5: a15f845237699a3d3ef78c8b95d1bbe9 Dataset Info
ObjectImages_part_1.zip May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations ZIP Archive - 25.5 GB - MD5: 0e670e5a13efc3e8235e0a954c83a693

Figure_7.png

Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements

PNG Image - 470.8 KB -

Figure_8_data.txt

Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements

Plain Text - 34.9 KB -

Figure_8.png

Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements

PNG Image - 886.0 KB -

Figure_9_data.txt

Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements

Plain Text - 291 B -

Figure_9.png

Jun 6, 2024 - Background Data for: Performance improvements of supermarket R744 systems by pivoting compressor arrangements

PNG Image - 508.7 KB -

Questionnaire and interview data on passenger safety perception during autonomous ferry public trials

Jun 5, 2024

Veitch, Erik, 2023, "Questionnaire and interview data on passenger safety perception during autonomous ferry public trials", https://doi.org/10.18710/CFBQSN, DataverseNO, V4

Results of questionnaires and interviews conducted with passengers aboard the autonomous ferry "milliAmpere2" during field trials in period 21 Sep to 2 Oct 2022.

00_README.txt

Jun 5, 2024 - Questionnaire and interview data on passenger safety perception during autonomous ferry public trials

Plain Text - 11.8 KB -

Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations

May 10, 2024 - NTNU Colourlab

Vats, Anuja, 2024, "Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations", https://doi.org/10.18710/HSMJLL, DataverseNO, V1

The dataset comprises the pretraining and testing data for our work: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. The pretaining data consists of images corresponding to the Digital Surface Models (DS...

00_ReadMe.txt

May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations

Plain Text - 4.9 KB -

Dataset Info

ObjectImages_part_1.zip

May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations

ZIP Archive - 25.5 GB -

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