ARMing the Edge: Designing Edge Computing–Capable Machine Learning Algorithms to Target ARM Doppler Lidar Processing
| contributor author | Jackson, Robert C. | |
| contributor author | Raut, Bhupendra A. | |
| contributor author | Dematties, Dario | |
| contributor author | Collis, Scott M. | |
| contributor author | Ferrier, Nicola | |
| contributor author | Beckman, Pete | |
| contributor author | Sankaran, Rajesh | |
| contributor author | Kim, Yongho | |
| contributor author | Park, Seongha | |
| contributor author | Shahkarami, Sean | |
| contributor author | Newsom, Rob | |
| date accessioned | 2024-12-24T15:00:28Z | |
| date available | 2024-12-24T15:00:28Z | |
| date copyright | 01 Oct. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-22-0062.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301671 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | ARMing the Edge: Designing Edge Computing–Capable Machine Learning Algorithms to Target ARM Doppler Lidar Processing | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 4 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0062.1 | |
| journal lastpage | 220062 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004 | |
| contenttype | Fulltext |
