Explainable Asymmetric Auto-Encoder for End-to-End Learning of IoBNT Communications-Reference-Cited by-同舟云学术

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Explainable Asymmetric Auto-Encoder for End-to-End Learning of IoBNT Communications

Published:2024-05-05 Issue: Volume:32 Page:412-418
ISSN:
Container-title:2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
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Author:

Khanzadeh Roya¹,Angerbauer Stefan¹,Gomez Jorge Torres²,Hofmann Pit³,Dressler Falko²,Fitzek Frank H. P.³,Springer Andreas⁴,Haselmayr Werner⁴

Affiliation:

1. Johannes Kepler University Linz,Institute for Communications Engineering and RF-Systems, JKU LIT SAL eSPML Lab,Linz,Austria

2. TU Berlin,School of Electrical Engineering and Computer Science,Berlin,Germany

3. Technische Universität Dresden,Deutsche Telekom Chair of Communication Networks,Dresden,Germany

4. Johannes Kepler University Linz,Institute for Communications Engineering and RF-Systems,Linz,Austria

Funder

Ministry of Education

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624683/10624689/10624774.pdf?arnumber=10624774

Reference20 articles.

1. Connecting in-body nano communication with body area networks: Challenges and opportunities of the Internet of Nano Things

2. The internet of Bio-Nano things

3. A Comprehensive Survey of Recent Advancements in Molecular Communication

4. Integration of molecular communications into future generation wireless networks;Haselmayr

5. A Survey on Modulation Techniques in Molecular Communication via Diffusion

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