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Dimitris Sklavounos
Dimitris Sklavounos
Metropolitan College, Greece
Verified email at mitropolitiko.edu.gr
Title
Cited by
Cited by
Year
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
132017
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, 2016
102016
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
82013
A subspace identification method for detecting abnormal behavior in HVAC systems
D Sklavounos, E Zervas, O Tsakiridis, J Stonham
Journal of Energy 2015, 2015
72015
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
52019
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
52018
Energy control algorithms for HVAC systems
D Sklavounos, E Zervas, O Tsakiridis, J Stonham
2014 IEEE International Energy Conference (ENERGYCON), 1249-1254, 2014
32014
Network intrusion detection method based on matrix factorization of their time and frequency representations
S Chountasis, D Pappas, D Sklavounos
ETRI Journal, 2020
12020
Network Attack Detection Method Based on their Time-Frequency Decomposition
D Sklavounos, S Chountasis, A Edoh
Article 8 (4), 273-278, 2019
12019
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
12017
Detection of abnormal situations and energy efficiency control in heating ventilation and air conditioning (HVAC) systems
DC Sklavounos
Brunel University London, 2015
12015
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
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