Towards Molecular Machine Learning for the IoBNT

Stefan Angerbauer; Franz Enzenhofer; Tobias Pankratz; Werner Haselmayr

doi:10.1145/3576781.3608735

Towards Molecular Machine Learning for the IoBNT

Stefan Angerbauer
, Franz Enzenhofer
, Tobias Pankratz
, Werner Haselmayr

Department of Communications Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication
Pages	168-169
Number of pages	2
ISBN (Electronic)	9798400700347
DOIs	https://doi.org/10.1145/3576781.3608735
Publication status	Published - 20 Sept 2023

Publication series

Name	NanoCom 2023 - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication

Fields of science

202038 Telecommunications
202 Electrical Engineering, Electronics, Information Engineering
202030 Communication engineering
202037 Signal processing

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3576781.3608735

Cite this

Angerbauer, S., Enzenhofer, F., Pankratz, T., & Haselmayr, W. (2023). Towards Molecular Machine Learning for the IoBNT. In Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication (pp. 168-169). (NanoCom 2023 - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication). https://doi.org/10.1145/3576781.3608735

@inproceedings{f874cd3ac93e4c25811ac978e0d57185,

title = "Towards Molecular Machine Learning for the IoBNT",

author = "Stefan Angerbauer and Franz Enzenhofer and Tobias Pankratz and Werner Haselmayr",

year = "2023",

month = sep,

day = "20",

doi = "10.1145/3576781.3608735",

language = "English",

series = "NanoCom 2023 - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication",

pages = "168--169",

booktitle = "Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication",

}

Angerbauer, S, Enzenhofer, F, Pankratz, T & Haselmayr, W 2023, Towards Molecular Machine Learning for the IoBNT. in Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication. NanoCom 2023 - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication, pp. 168-169. https://doi.org/10.1145/3576781.3608735

Towards Molecular Machine Learning for the IoBNT. / Angerbauer, Stefan; Enzenhofer, Franz; Pankratz, Tobias et al.
Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication. 2023. p. 168-169 (NanoCom 2023 - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Towards Molecular Machine Learning for the IoBNT

AU - Angerbauer, Stefan

AU - Enzenhofer, Franz

AU - Pankratz, Tobias

AU - Haselmayr, Werner

PY - 2023/9/20

Y1 - 2023/9/20

UR - https://www.scopus.com/pages/publications/85174231315

U2 - 10.1145/3576781.3608735

DO - 10.1145/3576781.3608735

M3 - Conference proceedings

T3 - NanoCom 2023 - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication

SP - 168

EP - 169

BT - Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication

ER -

Towards Molecular Machine Learning for the IoBNT

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

JKU LIT SAL eSPML Lab

Cite this

Towards Molecular Machine Learning for the IoBNT

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

JKU LIT SAL eSPML Lab

Cite this