Receiver Design in Molecular Communications: An Approach Based on Artificial Neural Networks

Xuewen Qian, Marco Di Renzo

Open source

DOI: 10.1109/iswcs.2018.8491088
Published: 2018-08
Container: 2018 15th International Symposium on Wireless Communication Systems (ISWCS)
Publisher: IEEE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/iswcs.2018.8491088,
  title = {Receiver Design in Molecular Communications: An Approach Based on Artificial Neural Networks},
  author = {Xuewen Qian and Marco Di Renzo},
  year = {2018},
  journal = {2018 15th International Symposium on Wireless Communication Systems (ISWCS)},
  doi = {10.1109/iswcs.2018.8491088},
  url = {https://doi.org/10.1109/iswcs.2018.8491088}
}

RIS

TY  - JOUR
TI  - Receiver Design in Molecular Communications: An Approach Based on Artificial Neural Networks
AU  - Xuewen Qian
AU  - Marco Di Renzo
PY  - 2018
JO  - 2018 15th International Symposium on Wireless Communication Systems (ISWCS)
DO  - 10.1109/iswcs.2018.8491088
UR  - https://doi.org/10.1109/iswcs.2018.8491088
ER  -

APA

Qian, X., & Renzo, M. D. (2018). Receiver Design in Molecular Communications: An Approach Based on Artificial Neural Networks. 2018 15th International Symposium on Wireless Communication Systems (ISWCS). https://doi.org/10.1109/iswcs.2018.8491088

Source records

crossref · retrieved 2026-09-25T07:41:24.665Z