Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Probabilistic RF-Assisted Camera Wake-Up through Self-Supervised
  Gaussian Process Regression   Research on wireless sensors represents a continuously evolving technological
domain thanks to their high flexibility and scalability, fast and economical
deployment, pervasiveness in industrial, civil and domestic contexts. However,
the maintenance costs and the sensors reliability are strongly affected by the
battery lifetime, which may limit their use. In this paper we consider a
wireless smart camera, equipped with a low-energy radio receiver, and used to
visually detect a moving radio-emitting target. To preserve the camera lifetime
without sacrificing the detection capabilities, we design a probabilistic
energy-aware controller to switch on/off the camera. The radio signal strength
is used to predict the target detectability, via self-supervised Gaussian
Process Regression combined with Recursive Bayesian Estimation. The automatic
training process minimizes the human intervention, while the controller
guarantees high detection accuracy and low energy consumption, as numerical and
experimental results show.

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The categories of this paper are: atom-ph
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The categories of this paper are: q-alg
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-th
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The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: supr-con
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: math
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The categories of this paper are: acc-phys
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The categories of this paper are: econ
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The categories of this paper are: nlin