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Thomas Lagkas

Showing results (1-10 of 7) with videos related to

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Sensors (Basel, Switzerland)|February 15, 2022
Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial VehiclesGeorgios Fevgas, Thomas Lagkas, Vasileios Argyriou, et al.
Sensors (Basel, Switzerland)|November 21, 2018
UAV IoT Framework Views and Challenges: Towards Protecting Drones as "Things"Thomas Lagkas, Vasileios Argyriou, Stamatia Bibi, et al.
Health Informatics Journal|January 13, 2021
Sensor-based platforms for remote management of chronic diseases in developing regions: A qualitative approach examining the perspectives of healthcare professionalsAdelina Basholli, Thomas Lagkas, Peter A Bath, et al.
Sensors (Basel, Switzerland)|March 6, 2021
End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation BalanceZhonglin Sun, Yannis Spyridis, Thomas Lagkas, et al.
Sensors (Basel, Switzerland)|October 26, 2021
IDS for Industrial Applications: A Federated Learning Approach with Active PersonalizationVasiliki Kelli, Vasileios Argyriou, Thomas Lagkas, et al.
Sensors (Basel, Switzerland)|July 2, 2021
Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV NetworksYannis Spyridis, Thomas Lagkas, Panagiotis Sarigiannidis, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 25, 2023
Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in HealthcareIlias Siniosoglou, Vasileios Argyriou, Panagiotis Sarigiannidis, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|February 15, 2022
Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial VehiclesGeorgios Fevgas, Thomas Lagkas, Vasileios Argyriou, et al.
Sensors (Basel, Switzerland)|November 21, 2018
UAV IoT Framework Views and Challenges: Towards Protecting Drones as "Things"Thomas Lagkas, Vasileios Argyriou, Stamatia Bibi, et al.
Health Informatics Journal|January 13, 2021
Sensor-based platforms for remote management of chronic diseases in developing regions: A qualitative approach examining the perspectives of healthcare professionalsAdelina Basholli, Thomas Lagkas, Peter A Bath, et al.
Sensors (Basel, Switzerland)|March 6, 2021
End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation BalanceZhonglin Sun, Yannis Spyridis, Thomas Lagkas, et al.
Sensors (Basel, Switzerland)|October 26, 2021
IDS for Industrial Applications: A Federated Learning Approach with Active PersonalizationVasiliki Kelli, Vasileios Argyriou, Thomas Lagkas, et al.
Sensors (Basel, Switzerland)|July 2, 2021
Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV NetworksYannis Spyridis, Thomas Lagkas, Panagiotis Sarigiannidis, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 25, 2023
Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in HealthcareIlias Siniosoglou, Vasileios Argyriou, Panagiotis Sarigiannidis, et al.
Pageof 1