A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11633-019-1185-8.pdf
Reference38 articles.
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4. K. Cao, G. Xu, J. L. Zhou, T. Q. Wei, M. S. Chen, S. Y. Hu. QoS-adaptive approximate real-time computation for mobility-aware IoT lifetime optimization. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, to be published. DOI: https://doi.org/10.1109/TCAD.2018.2873239 .
5. M. Khakifirooz, C. F. Chien, Y. J. Chen. Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0. Applied Soft Computing, vol. 68, pp. 990–999, 2018. DOI: https://doi.org/10.1016/j.asoc.2017.11.034 .
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