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Yang Thee Quek

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2020 – today

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2023
[c3]
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  - conf/iecon/JiQWW23
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Albert Ji, Yang Thee Quek, Wai Lok Woo, Eugene Wong:
Experimental Investigations of a Convolutional Neural Network Model for Detecting Railway Track Anomalies. IECON 2023: 1-7
2020
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Yang Thee Quek, Wai Lok Woo, Logenthiran Thillainathan:
IoT Load Classification and Anomaly Warning in ELV DC Picogrids Using Hierarchical Extended k-Nearest Neighbors. IEEE Internet Things J. 7(2): 863-873 (2020)
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Yang Thee Quek, Wai Lok Woo, Thillainathan Logenthiran:
Load Disaggregation Using One-Directional Convolutional Stacked Long Short-Term Memory Recurrent Neural Network. IEEE Syst. J. 14(1): 1395-1404 (2020)
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Yang Thee Quek:
Implementation of an IoT-based DC nanogrid in an offshore fish farm. TENCON 2020: 1147-1152

2010 – 2019

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2018
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Yang Thee Quek, Wai Lok Woo, Thillainathan Logenthiran:
A low cost master and slave distributed intelligent meter for non-intrusive load classification and anomaly warning. I2MTC 2018: 1-6

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