Intelligent Continuous Monitoring to Handle Data Distributional Changes for IoT Systems

Author:

Bandyopadhyay Soma1,Datta Anish1,Pal Arpan1,Gadepally Srinivas Raghu Raman2

Affiliation:

1. TCS Research, Kolkata, India

2. TCS, Hyderabad, India

Publisher

ACM

Reference21 articles.

1. SensIPro: Smart sensor analytics for Internet of things

2. E Oran Brigham . 1988. The fast Fourier transform and its applications . Prentice-Hall, Inc. E Oran Brigham. 1988. The fast Fourier transform and its applications. Prentice-Hall, Inc.

3. Case Western Reserve University Bearing Data Center. 2018. https://csegroups.case.edu/bearingdatacenter/home. (2018). Case Western Reserve University Bearing Data Center. 2018. https://csegroups.case.edu/bearingdatacenter/home. (2018).

4. Jiangpeng He and Fengqing Zhu . 2022 . Out-Of-Distribution Detection In Un-supervised Continual Learning . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 3850--3855 . Jiangpeng He and Fengqing Zhu. 2022. Out-Of-Distribution Detection In Un-supervised Continual Learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 3850--3855.

5. Irina Higgins Loic Matthey Arka Pal Christopher Burgess Xavier Glorot Matthew Botvinick Shakir Mohamed and Alexander Lerchner. 2016. beta-vae: Learning basic visual concepts with a constrained variational framework. (2016). Irina Higgins Loic Matthey Arka Pal Christopher Burgess Xavier Glorot Matthew Botvinick Shakir Mohamed and Alexander Lerchner. 2016. beta-vae: Learning basic visual concepts with a constrained variational framework. (2016).

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