Charalampos Karyotis

Orcid: 0000-0001-7592-2286

According to our database1, Charalampos Karyotis authored at least 18 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Network Slicing for Beyond 5G Networks using Machine Learning.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
An Intelligent Framework for Automatic Breast Cancer Classification Using Novel Feature Extraction and Machine Learning Techniques.
J. Signal Process. Syst., March, 2023

6G Connected Vehicle Framework to Support Intelligent Road Maintenance Using Deep Learning Data Fusion.
IEEE Trans. Intell. Transp. Syst., 2023

2022
Predicting the Public Adoption of Connected and Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Convolution neural networks for pothole detection of critical road infrastructure.
Comput. Electr. Eng., 2022

Deep Neural Networks for Transmission Impairment Mitigation in Long-Reach 5G Access Networks.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

2021
Deep Neural Networks Based Approach for Pothole Detection.
Proceedings of the 4th International Conference on Signal Processing and Information Security, 2021

2020
EXPLOR - A Novel Holistic Numerical Platform for Converged Optical-Wireless B5G Networks.
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020

2019
Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches.
IEEE Trans. Ind. Informatics, 2019

Intelligent Remote Monitoring of Parking Spaces Using Licensed and Unlicensed Wireless Technologies.
IEEE Netw., 2019

Deep Learning for Flood Forecasting and Monitoring in Urban Environments.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
A fuzzy computational model of emotion for cloud based sentiment analysis.
Inf. Sci., 2018

2017
Affect Aware Ambient Intelligence: Current and Future Directions.
Proceedings of the State of the Art in AI Applied to Ambient Intelligence, 2017

Fuzzy based computational models of emotion for monitoring students' affective trajectories.
PhD thesis, 2017

Interval valued data enhanced fuzzy cognitive maps: Torwards an appraoch for Autism deduction in Toddlers.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
An intelligent framework for emotion aware e-healthcare support systems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Fuzzy Modelling Approach of Emotion for Affective Computing Systems.
Proceedings of the International Conference on Internet of Things and Big Data, 2016

2015
An intelligent framework for monitoring students Affective Trajectories using adaptive fuzzy systems.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015


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