---
_id: '21584'
author:
- first_name: Carlos Paiz
  full_name: Gatica, Carlos Paiz
  last_name: Gatica
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
citation:
  ama: 'Gatica CP, Platzner M. Adaptable Realization of Industrial Analytics Functions
    on Edge-Devices using Reconfigurable Architectures. In: <i>Machine Learning for
    Cyber Physical Systems (ML4CPS 2017)</i>. Berlin, Heidelberg; 2020. doi:<a href="https://doi.org/10.1007/978-3-662-59084-3_9">10.1007/978-3-662-59084-3_9</a>'
  apa: Gatica, C. P., &#38; Platzner, M. (2020). Adaptable Realization of Industrial
    Analytics Functions on Edge-Devices using Reconfigurable Architectures. In <i>Machine
    Learning for Cyber Physical Systems (ML4CPS 2017)</i>. Berlin, Heidelberg. <a
    href="https://doi.org/10.1007/978-3-662-59084-3_9">https://doi.org/10.1007/978-3-662-59084-3_9</a>
  bibtex: '@inproceedings{Gatica_Platzner_2020, place={Berlin, Heidelberg}, title={Adaptable
    Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable
    Architectures}, DOI={<a href="https://doi.org/10.1007/978-3-662-59084-3_9">10.1007/978-3-662-59084-3_9</a>},
    booktitle={Machine Learning for Cyber Physical Systems (ML4CPS 2017)}, author={Gatica,
    Carlos Paiz and Platzner, Marco}, year={2020} }'
  chicago: Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial
    Analytics Functions on Edge-Devices Using Reconfigurable Architectures.” In <i>Machine
    Learning for Cyber Physical Systems (ML4CPS 2017)</i>. Berlin, Heidelberg, 2020.
    <a href="https://doi.org/10.1007/978-3-662-59084-3_9">https://doi.org/10.1007/978-3-662-59084-3_9</a>.
  ieee: C. P. Gatica and M. Platzner, “Adaptable Realization of Industrial Analytics
    Functions on Edge-Devices using Reconfigurable Architectures,” in <i>Machine Learning
    for Cyber Physical Systems (ML4CPS 2017)</i>, 2020.
  mla: Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial
    Analytics Functions on Edge-Devices Using Reconfigurable Architectures.” <i>Machine
    Learning for Cyber Physical Systems (ML4CPS 2017)</i>, 2020, doi:<a href="https://doi.org/10.1007/978-3-662-59084-3_9">10.1007/978-3-662-59084-3_9</a>.
  short: 'C.P. Gatica, M. Platzner, in: Machine Learning for Cyber Physical Systems
    (ML4CPS 2017), Berlin, Heidelberg, 2020.'
date_created: 2021-03-31T08:58:59Z
date_updated: 2022-01-06T06:55:06Z
department:
- _id: '78'
doi: 10.1007/978-3-662-59084-3_9
language:
- iso: eng
place: Berlin, Heidelberg
publication: Machine Learning for Cyber Physical Systems (ML4CPS 2017)
publication_identifier:
  isbn:
  - '9783662590836'
  - '9783662590843'
  issn:
  - 2522-8579
  - 2522-8587
publication_status: published
status: public
title: Adaptable Realization of Industrial Analytics Functions on Edge-Devices using
  Reconfigurable Architectures
type: conference
user_id: '398'
year: '2020'
...