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Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing

  • Published:2021-07-11 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
  • language:
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Author:

Riedel Morris,Cavallaro Gabriele,Benediktsson Jon Atli

Funder

Center of Excellence (CoE) Research on AI- and Simulation-Based Engineering at Exascale (RAISE)

EU's Horizon 2020 Research and Innovation Framework Programme H2020-INFRAEDI-2019-1

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review;International Journal of Applied Earth Observation and Geoinformation;2024-04

2. Quantum Machine Learning on Remote Sensing Data Classification;Journal of Engineering Research and Sciences;2023-12

3. Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC;2023 46th MIPRO ICT and Electronics Convention (MIPRO);2023-05-22

4. Quantum Discrete Transform for Real-Time Object Detection in Today's Smart Era;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-04-21

5. On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data;IEEE Geoscience and Remote Sensing Letters;2023
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