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1,871 to 1,880 of 2,963 Results
Inventory_Hywind_Tampen_FOWF.csv
May 16, 2024 - Supplementary Materials-Life Cycle Assessment of Offshore Wind Farms – A Comparative Study of Floating Vs. Fixed Offshore Wind Turbines-Master Thesis-Omid Lotfizadeh
Comma Separated Values - 6.9 KB - MD5: 751754ad5d654b496b024bffcf120fea
Inventory_Hywind_Tampen_FOWF.csv
ReadMe_file.txt
May 16, 2024 - Supplementary Materials-Life Cycle Assessment of Offshore Wind Farms – A Comparative Study of Floating Vs. Fixed Offshore Wind Turbines-Master Thesis-Omid Lotfizadeh
Plain Text - 3.3 KB - MD5: 6adc4fa4260c40b9e4f683b5ac070acb
ReadMe_file.txt
Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
May 10, 2024 - NTNU – Norwegian University of Science and Technology
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 (DSM) and Digital Terrain Models (DTM) obtained from Norway, with a groun...
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
Object_images_part_2.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 25.4 GB - MD5: 6320ea78b2741401d0384b8ff0d7d784
segmentation_images_and_masks.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 9.5 GB - MD5: 2a302d08191a6d6fd6eb8086c41c41ca
TerrainImages_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 - 24.1 GB - MD5: 943b1b1125b2023f7178b688d50b9bdb
Terrain_images_part_2.zip
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
ZIP Archive - 20.5 GB - MD5: 264b2004851e832029fd0e27712729d2
Social networks among decision making actors in an urban development in a Norwegian Municipality
Apr 16, 2024 - University of Agder
Alhassan, Alhassan Yakubu, 2024, "Social networks among decision making actors in an urban development in a Norwegian Municipality", https://doi.org/10.18710/DKZAFO, DataverseNO, V1
The dataset was collected for a PhD project aimed at analysing the networks and relationships among actors in an urban road expansion project in a Norwegian Municipality. The data was gathered through a combination of document reviews and semi-structured interviews. It consist of 33 actors, 55 links in meeting networks and 189 links in information...
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