Feb 3, 2024 · This paper introduces SudokuSens, a generative framework for automated generation of training data in machine-learning-based Internet-of-Things ...
Feb 8, 2024 · ABSTRACT. This paper introduces SudokuSens, a generative framework for au- tomated generation of training data in machine-learning-based.
Feb 8, 2024 · This paper introduces SudokuSens, a generative framework for automated generation of training data in machine-learning-based ...
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach ... IoT Applications with Gated Graph Neural Networks.
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This paper introduces SudokuSens, a generative framework for automated generation of training data in machine-learning-based Internet-of-Things (IoT) ...
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara ...
Apr 26, 2024 · SenSys is a highly selective, single-track forum for cutting-edge research on systems issues of sensors and sensor-enabled smart systems.
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach · no code implementations • 3 Feb 2024 • Tianshi Wang ...
Few-shot learning with localization in realistic settings ... SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative ...
... SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach”, in Proc. ACM SenSys, Istanbul, Turkey, November ...