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An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications

An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications

Yousef AlShehri
Lakshmish Ramaswamy
ArXiv (abs)PDFHTML

Papers citing "An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications"

5 / 5 papers shown
Title
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems
Yousef AlShehri
Lakshmish Ramaswamy
OOD
48
3
0
05 Oct 2022
Time Series Generation with Masked Autoencoder
Time Series Generation with Masked Autoencoder
Meng-yue Zha
SiuTim Wong
Mengqi Liu
Tong Zhang
Kani Chen
SyDaAI4TS
50
17
0
14 Jan 2022
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
142
18,168
0
28 May 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,880
0
17 Apr 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
310
1,945
0
06 Jun 2016