Fahimeh Farahnakian

A Deep Auto-Encoder based Approach for Intrusion Detection System (2018)

International Conference on Advanced Communications Technology

Fatimeh Farahnakian, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018)

IEEE International Conference on Machine Learning and Applications

Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Anomaly-based Intrusion Detection Using Deep Neural Networks (2018)

International Journal of Digital Content Technology and Its Applications

Farahnakian Fahimeh, Heikkonen Jukka

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Energy and Performance Management of Virtual Machines: Provisioning, Placement and Consolidation (2016)

Fahimeh Farahnakian

(Artikkeliväitöskirja (G5))

Self-adaptive resource management system in IaaS clouds (2016)

International Conference on Cloud Computing, IEEE International Conference on Cloud Computing

Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015)

IEEE Transactions on Services Computing

Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Utilization prediction aware VM consolidation approach for green cloud computing (2015)

IEEE International Conference on Cloud Computing

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs (2014)

Microprocessors and Microsystems

F. Farahnakian, M. Ebrahimi, M. Daneshtalab, P. Liljeberg, J. Plosila

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Energy-aware Dynamic VM Consolidation in Cloud Data Centers using Ant Colony System (2014)

IEEE international conference on cloud computing technology and science

Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Artificial Immune System Based Intrusion Detection: Innate Immunity Using an Unsupervised Learning Approach (2014)

International Journal of Digital Content Technology and Its Applications

Farhoud Hosseinpour, Payam Vahdani Amoli, Fahimeh Farahnakian, Juha Plosila, Timo Hämäläinen

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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A Deep Auto-Encoder based Approach for Intrusion Detection System (2018)

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018)

Anomaly-based Intrusion Detection Using Deep Neural Networks (2018)

Energy and Performance Management of Virtual Machines: Provisioning, Placement and Consolidation (2016)

Self-adaptive resource management system in IaaS clouds (2016)

Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015)

Utilization prediction aware VM consolidation approach for green cloud computing (2015)

Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs (2014)

Energy-aware Dynamic VM Consolidation in Cloud Data Centers using Ant Colony System (2014)

Artificial Immune System Based Intrusion Detection: Innate Immunity Using an Unsupervised Learning Approach (2014)