Literature Database Entry

khanzadeh2024machine-tutorial


Roya Khanzadeh, Jorge Torres Gómez and Stefan Angerbauer, "Machine Learning in the IOBNT: Exploting the Potentail of Nano-Scale Communication and Computing," Tutorial, IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024), Stockholm, Sweden, May 05, 2024.


Abstract

This tutorial introduces the role of Machine Learning (ML) algorithms in the Internet of Bio-Nano Things (IoBNT), which is an emerging communication framework. The tutorial aims to identify the need for ML-enabled communication and computing techniques, specifically advocating for the bio-inspired Molecular Communications (MC) paradigm. It addresses the limitations and challenges of existing model-based approaches in MC systems and emphasizes the potential of ML and Explainable Artificial Intelligence (XAI) in IoBNT networks. It also covers the possible practical realization of ML models on nano-scales. The tutorial aims to bridge the gap between ML-driven methods and existing IoBNT challenges by providing researchers with fundamental knowledge and application examples of ML in this emerging field.

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Roya Khanzadeh
Jorge Torres Gómez
Stefan Angerbauer

BibTeX reference

@misc{khanzadeh2024machine-tutorial,
    author = {Khanzadeh, Roya and Torres G{\'{o}}mez, Jorge and Angerbauer, Stefan},
    title = {{Machine Learning in the IOBNT: Exploting the Potentail of Nano-Scale Communication and Computing}},
    howpublished = {Tutorial},
    publisher = {IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024)},
    location = {Stockholm, Sweden},
    day = {05},
    month = {05},
    year = {2024},
   }
   
   

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Last modified: 2024-05-29