Work

End-to-End Learning for Time-Varying Non-Binary Molecular Communications

Year: 2025

Type: conference-paper

DOI: 10.1109/icmlcn64995.2025.11140116

Authors: Roya Khanzadeh, Stefan Angerbauer, Andreas Springer, Werner Haselmayr

Institution: Johannes Kepler University of Linz

Language: English

Topic: Molecular Communication and Nanonetworks

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4413967602

FWCI:

Cites: 22

Cited by:

Related to: 10