Sotirios P. Sotiroudis

Orcid: 0000-0003-3557-9211

Affiliations:
  • Aristotle University of Thessaloniki, Greece


According to our database1, Sotirios P. Sotiroudis authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Artificial Intelligence in Visible Light Positioning for Indoor IoT: A Methodological Review.
IEEE Open J. Commun. Soc., 2023

Music Deep Learning: Deep Learning Methods for Music Signal Processing - A Review of the State-of-the-Art.
IEEE Access, 2023

The Challenges of Music Deep Learning for Traditional Music.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

Energy Consumption Assessment in Refrigeration Equipment: The SmartFridge Project.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

2022
The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems.
EURASIP J. Wirel. Commun. Netw., 2022

Patch Antenna Design using Artificial Intelligence Methods for 4G/5G Applications.
Proceedings of the 25th International Symposium on Wireless Personal Multimedia Communications, 2022

Visible Light Positioning: A Machine Learning Approach.
Proceedings of the 7th South-East Europe Design Automation, 2022

Music Deep Learning: A Survey on Deep Learning Methods for Music Processing.
Proceedings of the 11th International Conference on Modern Circuits and Systems Technologies, 2022

Towards 6G: Deep Learning in Cell-Free Massive MIMO.
Proceedings of the 10th IEEE International Black Sea Conference on Communications and Networking, 2022

2021
Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach.
IEEE Access, 2021

Comparing Machine Learning Methods for Air-to-Ground Path Loss Prediction.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

2020
Deep learning for radio propagation: Using image-driven regression to estimate path loss in urban areas.
ICT Express, 2020

2019
Neural Networks and Random Forests: A Comparison Regarding Prediction of Propagation Path Loss for NB-IoT Networks.
Proceedings of the 8th International Conference on Modern Circuits and Systems Technologies, 2019


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