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SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing
  Applications using a Generative Approach
v1v2 (latest)

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach

3 February 2024
Tianshi Wang
Jinyang Li
Ruijie Wang
Denizhan Kara
Shengzhong Liu
Davis Wertheimer
Antoni Viros i Martin
R. Ganti
Mudhakar Srivatsa
Tarek Abdelzaher
ArXiv (abs)PDFHTML

Papers citing "SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach"

2 / 2 papers shown
Title
Hawk: An Efficient NALM System for Accurate Low-Power Appliance
  Recognition
Hawk: An Efficient NALM System for Accurate Low-Power Appliance RecognitionACM International Conference on Embedded Networked Sensor Systems (SenSys), 2024
Zijian Wang
Xingzhou Zhang
Yifan Wang
Xiaohui Peng
Zhiwei Xu
134
0
0
06 Oct 2024
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from
  Video for Human Activity Recognition
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity RecognitionProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2020
Hiroko H. Dodge
C. Tong
H. Haresamudram
Yan Gao
G. Abowd
Nicholas D. Lane
Thomas Ploetz
237
98
0
29 May 2020
1