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David Doria
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2020 – today
- 2022
- [j2]Francesc Guim, Thijs Metsch, Hassnaa Moustafa, Timothy Verrall, David Carrera, Nicola Cadenelli, Jiang Chen, David Doria, Chadie Ghadie, Raül González Prats:
Autonomous Lifecycle Management for Resource-Efficient Workload Orchestration for Green Edge Computing. IEEE Trans. Green Commun. Netw. 6(1): 571-582 (2022) - 2021
- [c8]Provides Ng, Baha Odaibat, David Doria, Alberto Fernández:
An Info-Biological Theory Approach to Computer-Aided Architectural Design: UnSSEUS. CAAD Futures 2021: 436-455 - 2020
- [i1]Andi Zang, Runsheng Xu, Zichen Li, David Doria:
Lane Boundary Geometry Extraction from Satellite Imagery. CoRR abs/2002.02362 (2020)
2010 – 2019
- 2017
- [c7]Andi Zang, Runsheng Xu, Zichen Li, David Doria:
Lane boundary extraction from satellite imagery. AutonomousGIS@SIGSPATIAL 2017: 1:1-1:8 - [c6]Andi Zang, Zichen Li, David Doria, Goce Trajcevski:
Accurate vehicle self-localization in high definition map dataset. AutonomousGIS@SIGSPATIAL 2017: 2:1-2:8 - 2016
- [j1]Alireza K. Monfared, Ellen W. Zegura, Mostafa H. Ammar, David Doria, David Bruno:
Computational ferrying: Efficient scheduling of computation on a mobile high performance computer. Comput. Commun. 96: 110-122 (2016) - 2015
- [c5]Elliott I. Gurrola, Salvador Melendez, Michael P. McGarry, Patricia J. Teller, David Doria, David Bruno:
The effect of network delay estimation error on computation offloading decisions. CloudNet 2015: 325-327 - [c4]Alireza K. Monfared, Mostafa H. Ammar, Ellen W. Zegura, David Doria, David Bruno:
Computational ferrying: Challenges in deploying a Mobile High Performance Computer. WOWMOM 2015: 1-6 - 2014
- [c3]Tamim Sookoor, David Doria, David Bruno, Dale R. Shires, Brian Swenson, Lori L. Pollock:
Offload Destination Selection to Enable Distributed Computation on Battlefields. MILCOM 2014: 841-848 - 2012
- [c2]David Doria, Richard J. Radke:
Filling large holes in LiDAR data by inpainting depth gradients. CVPR Workshops 2012: 65-72
2000 – 2009
- 2009
- [c1]David Doria, Richard J. Radke:
Consistency and confidence: A dual metric for verifying 3D object detections in multiple LiDAR scans. ICCV Workshops 2009: 1481-1488
Coauthor Index
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