Stylianos Tsanakas

11 papers C 1Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Strengthening Effectiveness and Safety of Product Assembly and Repair Processes using Extended Reality Applications in Industry 5.0 domain. NFV-SDN Emmanouil Mavrogiorgis, Stylianos Tsanakas, Nikos Zafeiropoulos, Nikos Papadakis
2024	J	`jnl`	A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means. Future Gener. Comput. Syst. Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas
2023	J	`jnl`	Enabling Artificial Intelligent Virtual Sensors in an IoT Environment. Sensors Georgios Stavropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas
2023	J	`jnl`	Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction. CoRR Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou
2022	J	`jnl`	Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network. Comput. Networks John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou
2021	—	`conf`	An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction. MobiWac Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas
2021	C	`conf`	Hypertuming GRU Neural Networks for Edge Resource Usage Prediction. ISCC John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou
2021	—	`conf`	Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model. SAI (2) John Violos, Tita Pagoulatou, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou
2020	—	`conf`	Next Position Prediction using LSTM Neural Networks. SETN John Violos, Stylianos Tsanakas, Maro Androutsopoulou, Georgios Palaiokrassas, Theodora A. Varvarigou
2020	—	`conf`	Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge. GECON John Violos, Evangelos Psomakelis, Dimitrios Danopoulos, Stylianos Tsanakas, Theodora A. Varvarigou
2019	—	`conf`	Predicting Visitor Distribution for Large Events in Smart Cities. BigComp John Violos, Sotiris Pelekis, Anastasis Berdelis, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou