A statistical approach based on ewma and cusum control charts for r2l intrusion detection D Sklavounos, A Edoh, M Plytas 2017 Cybersecurity and Cyberforensics Conference (CCC), 25-30, 2017 | 15 | 2017 |
A Comfort‐Aware Energy Efficient HVAC System Based on the Subspace Identification Method O Tsakiridis, D Sklavounos, E Zervas, J Stonham Journal of Energy 2016 (1), 5074846, 2016 | 11 | 2016 |
A subspace identification method for detecting abnormal behavior in HVAC systems D Sklavounos, E Zervas, O Tsakiridis, J Stonham Journal of Energy 2015 (1), 693749, 2015 | 8 | 2015 |
A wireless sensor network approach for the control of a multizone HVAC system D Sklavounos, E Zervas, O Tsakiridis, J Stonham 2013 International Conference on Power, Energy and Control (ICPEC), 153-158, 2013 | 8 | 2013 |
Statistical process control method for cyber intrusion detection (DDoS, U2R, R2L, Probe) D Sklavounos, A Leondakianakos, A Edoh International Journal of Cyber-Security and Digital Forensics 8 (1), 82-88, 2019 | 6 | 2019 |
Utilization of Statistical Control Charts for DoS Network Intrusion Detection D Sklavounos, A Edoh, G Paraskevopoulos International Journal of Cyber-Security and Digital Forensics (IJCSDF), 2018 | 6 | 2018 |
Energy control algorithms for HVAC systems D Sklavounos, E Zervas, O Tsakiridis, J Stonham 2014 IEEE International Energy Conference (ENERGYCON), 1249-1254, 2014 | 3 | 2014 |
A cumulative sum technique for network cyber intrusion detection D Sklavounos, G Paraskevopoulos, A Edoh The Third International Conference on Information Security and Digital …, 2017 | 2 | 2017 |
Network intrusion detection method based on matrix factorization of their time and frequency representations S Chountasis, D Pappas, D Sklavounos ETRI Journal, 2020 | 1 | 2020 |
Network Attack Detection Method Based on their Time-Frequency Decomposition D Sklavounos, S Chountasis, A Edoh Article 8 (4), 273-278, 2019 | 1 | 2019 |
Detection of abnormal situations and energy efficiency control in heating ventilation and air conditioning (HVAC) systems DC Sklavounos Brunel University London, 2015 | 1 | 2015 |
Identification of Multiple Sclerosis Signals’ Dependence on Patients’ Medical Conditions Through Stochastic Perturbation of Features in Five Machine Learning Models S Lavdas, D Sklavounos, P Gkonis, P Siaperas, N Bakas European, Mediterranean, and Middle Eastern Conference on Information …, 2022 | | 2022 |
Heart Disease Prevention Using Machine Learning Algorithms P Mavridou, D Sklavounos, S Lavdas, P Siaperas Rehab 2022, 120, 2022 | | 2022 |
Research Article A Comfort-Aware Energy Efficient HVAC System Based on the Subspace Identification Method O Tsakiridis, D Sklavounos, E Zervas, J Stonham | | 2016 |
Fault Detection System for Monitoring the Consumption Energy in an HVAC System D Sklavounos, E Zervas, T Odysseas, J Stonham WSEAS, DEEE, Paris, France, 2012 | | 2012 |
Low voltage chaotic oscillator O Tsakiridis, D Sklavounos, J Stonham WSEAS International Conference. Proceedings. Mathematics and Computers in …, 2008 | | 2008 |
Synchronization of the Limited Bandwidth Laser Diode System D Sklavounos, T Odysseas 10th Experimental Chaos conference, Catania, 2008 | | 2008 |