Stylianos Tsanakas

According to our database, Stylianos Tsanakas authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means.

Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas

Future Gener. Comput. Syst., 2024

2023

Enabling Artificial Intelligent Virtual Sensors in an IoT Environment.

Georgios Stavropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas

Sensors, February, 2023

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction.

Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou

CoRR, 2023

2022

Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network.

John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou

Comput. Networks, 2022

2021

Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model.

John Violos, Tita Pagoulatou, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou

Proceedings of the Intelligent Computing, 2021

An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction.

Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas

Proceedings of the MobiWac '21: Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access, Alicante, Spain, November 22, 2021

Hypertuming GRU Neural Networks for Edge Resource Usage Prediction.

John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou

Proceedings of the IEEE Symposium on Computers and Communications, 2021

2020

Next Position Prediction using LSTM Neural Networks.

John Violos, Stylianos Tsanakas, Maro Androutsopoulou, Georgios Palaiokrassas, Theodora A. Varvarigou

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge.

John Violos, Evangelos Psomakelis, Dimitrios Danopoulos, Stylianos Tsanakas, Theodora A. Varvarigou

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2020

2019

Predicting Visitor Distribution for Large Events in Smart Cities.

John Violos, Sotiris Pelekis, Anastasis Berdelis, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019