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Dataset . 2019
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY SA
Data sources: ZENODO
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ZENODO
Dataset . 2019
License: CC BY SA
Data sources: ZENODO
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Micro-power Pulse-Doppler Radar Clutter and Displacement Source Classification Dataset

Authors: Dhrubojyoti Roy; Sangeeta Srivastava; Aditya Kusupati; Pranshu Jain; Manik Varma; Anish Arora;

Micro-power Pulse-Doppler Radar Clutter and Displacement Source Classification Dataset

Abstract

This is the official dataset for the ACM BuildSys 2019 publication One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. The training code for MSC-RNN can be found at https://github.com/dhruboroy29/MSCRNN Kindly cite this work as: @inproceedings{roy2019one, title={One size does not fit all: Multi-scale, cascaded RNNs for radar classification}, author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish}, booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation}, pages={1--10}, year={2019} }

Keywords

system on a chip, recurrent neural network, sensor network, radar

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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