Similar Items: D4.10 Demonstrator pipeline for habitat condition metric extraction and parallel and distributed computing in a cloud environment
- D6.2 Geospatial data products of habitat metrics derived from LiDAR point clouds at national scales for multiple countries and time periods, findable and accessible through data portals, relevant catalogues or digital repositories
- Cost Denigration Based Data Center Allocation Policy Using Modified Parallel PSO Optimization Technique for Multi-cloud Framework
- On the parallelization of stellar evolution codes
- Annotation-free Generation of Training Data Using Mixed Domains for Segmentation of 3D LiDAR Point Clouds
- Participatory cloud computing : the community cloud management protocol
- Objective Quality Evaluation of Point Clouds: Quality Features and Fusion Metrics