On-Device Application Categorization using Application Resources

The question behind it

What can a model see that a person cannot?

Projects I have run with undergraduate teams: infection detection in mushroom farms, solar output under cloud cover, fake review and fake news detection, gesture recognition, text summarisation, and carbon-efficient inference in large language models.

A plain-language summary of this paper is on its way here. The full text will follow wherever the publisher permits me to host it.

Cite this paper

@inproceedings{sangeetha2023on,
  title   = {On-Device Application Categorization using Application Resources},
  author  = {S Sangeetha and R Inturi and A Srikanth and T Hariprasath and P Abishavarthana and et al.},
  booktitle = {2023 IEEE International Conference on Electronics, Computing and},
  year    = {2023},
  doi     = {10.1109/conecct57959.2023.10234770},
  url     = {http://dx.doi.org/10.1109/conecct57959.2023.10234770},
}

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