Fahimeh Farahnakian

RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles (2020)

International Conference on Signal Processing and Communication Systems (ICSPCS)

Farahnakian Fahimeh, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)

IEEE International Conference on Multimedia and Expo Workshops, IEEE International Conference on Multimedia and Expo Workshops

Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)

IEEE Transactions on Cloud Computing

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen

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

Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment (2019)

International Conference on Information Fusion

Farahnakian Fahimeh, Poikkonen Jussi, Laurinen Markus, Markis Dimitrios, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Comparative Analysis of Image Fusion Methods in Marine Environment (2019)

IEEE International Symposium on Robotic and Sensors Environments

Fahimeh Farahnakian, Parisa Movahedi, Jussi Poikonen, Eero Lehtonen, Dimitrios Makris, Jukka Heikkonen

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment (2019)

Intelligent Transportation Systems Conference

Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, 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))

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)

IEEE International Conference on Intelligent Transportation Systems, Proceedings of the IEEE international conference on intelligent transportation systems

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

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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))

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RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles (2020)

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)

Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)

Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment (2019)

Comparative Analysis of Image Fusion Methods in Marine Environment (2019)

Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment (2019)

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

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)

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

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