Timo T Hämäläinen
Zitiert von
Zitiert von
Ensuring the QoS requirements in 802.16 scheduling
A Sayenko, O Alanen, J Karhula, T Hämäläinen
Proceedings of the 9th ACM international symposium on Modeling analysis and …, 2006
Factors affecting Nigerian teacher educators’ technology integration: Considering characteristics, knowledge constructs, ICT practices and beliefs
E Ifinedo, J Rikala, T Hämäläinen
Computers & education 146, 103760, 2020
Scheduling solution for the IEEE 802.16 base station
A Sayenko, O Alanen, T Hämäläinen
Computer Networks 52 (1), 96-115, 2008
Online anomaly detection using dimensionality reduction techniques for HTTP log analysis
A Juvonen, T Sipola, T Hämäläinen
Computer Networks 91, 46-56, 2015
An intrusion detection system for fog computing and IoT based logistic systems using a smart data approach
F Hosseinpour, P Vahdani Amoli, J Plosila, T Hämäläinen, H Tenhunen
International Journal of Digital Content Technology and its Applications 10 (5), 2016
Value iteration and adaptive optimal output regulation with assured convergence rate
Y Jiang, W Gao, J Na, D Zhang, TT Hämäläinen, V Stojanovic, FL Lewis
Control Engineering Practice 121, 105042, 2022
Increasing web service availability by detecting application-layer DDoS attacks in encrypted traffic
M Zolotukhin, T Hämäläinen, T Kokkonen, J Siltanen
2016 23rd International conference on telecommunications (ICT), 1-6, 2016
Analysis of HTTP requests for anomaly detection of web attacks
M Zolotukhin, T Hämäläinen, T Kokkonen, J Siltanen
2014 IEEE 12th International Conference on Dependable, Autonomic and Secure …, 2014
Complexity analysis of next-generation HEVC decoder
M Viitanen, J Vanne, TD Hämäläinen, M Gabbouj, J Lainema
2012 IEEE International Symposium on Circuits and Systems (ISCAS), 882-885, 2012
Detection of zero-day malware based on the analysis of opcode sequences
M Zolotukhin, T Hämäläinen
2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), 386-391, 2014
Machine learning classification model for network based intrusion detection system
S Kumar, A Viinikainen, T Hamalainen
2016 11th international conference for internet technology and secured …, 2016
Artificial immune system based intrusion detection: innate immunity using an unsupervised learning approach
F Hosseinpour, PV Amoli, F Farahnakian, J Plosila, T Hämäläinen
International Journal of Digital Content Technology and its Applications 8 …, 2014
Wireless sensor prototype platform
M Kohvakka, M Hannikainen, TD Hamalainen
IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society …, 2003
Internet of Things for sustainable smart education: An overview
K Zeeshan, T Hämäläinen, P Neittaanmäki
Sustainability 14 (7), 4293, 2022
Efficient hardware implementation of security processing for IEEE 802.15. 4 wireless networks
P Hamalainen, M Hannikainen, TD Hamalainen
48th Midwest Symposium on Circuits and Systems, 2005., 484-487, 2005
A novel deep learning stack for APT detection
T Bodström, T Hämäläinen
Applied Sciences 9 (6), 1055, 2019
MARTE profile extension for modeling dynamic power management of embedded systems
T Arpinen, E Salminen, TD Hämäläinen, M Hännikäinen
Journal of Systems Architecture 58 (5), 209-219, 2012
Performance model for IEEE 802.11 s wireless mesh network deployment design
T Vanhatupa, M Hännikäinen, TD Hämäläinen
Journal of Parallel and Distributed Computing 68 (3), 291-305, 2008
Flow-based fast handover method for mobile IPv6 network
M Sulander, T Hamalainen, A Viinikainen, J Puttonen
2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat …, 2004
High-performance multi-radio WSN platform
M Kohvakka, T Arpinen, M Hännikäinen, TD Hämäläinen
Proceedings of the 2nd international workshop on Multi-hop ad hoc networks …, 2006
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