Fahimeh Farahnakian

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior (2023)

Remote Sensing

Farahnakian Farshad, Nicolas Florent, Farahnakian Fahimeh, Nevalainen Paavo, Sheikh Javad, Heikkonen Jukka, Raduly-Baka Csaba

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

A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection (2021)

International Conference on Machine Learning and Applications

Farahnakian Fahimeh, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Pose Estimation of Hurdles Athletes using OpenPose (2021)

International Conference on Electrical, Computer, Communications and Mechatronics Engineering

Jafarzadeh Pouya, Virjonen Petra, Nevalainen Paavo, Farahnakian Fahimeh, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

IoT-Based Household Energy Consumption Prediction Using Machine Learning (2021)

Jafarzadeh Pouya, Farahnakian Fahimeh, Paalassalo Jari-Pekka, Eerola Osmo

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Transfer Learning for Maritime Vessel Detection using Deep Neural Networks (2021)

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

Farahnakian Fahimeh, Zelioli Luca, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

RGB and Depth Image Fusion for Object Detection Using Deep Learning (2021)

Farahnakian Fahimeh, Heikkonen Jukka

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Towards Autonomous Industrial Warehouse Inspection (2021)

International Conference on Automation and Computing

Farahnakian Fahimeh, Koivunen Lauri, Mäkilä Tuomas, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Driver Drowsiness Detection Using Deep Convolutional Neural Network (2021)

International Conference on Electrical, Computer, Communications and Mechatronics Engineering

Farahnakian Farshad, Leoste Janika, Farahnakian Fahimeh

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Multi-pig Pose Estimation Using DeepLabCut (2021)

International Conference on Intelligent Control and Information Processing

Farahnakian Fahimeh, Heikkonen Jukka, Björkman Stefan

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)

Remote Sensing

Fahimeh Farahnakian, Jukka Heikkonen

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

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A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior (2023)

A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection (2021)

Pose Estimation of Hurdles Athletes using OpenPose (2021)

IoT-Based Household Energy Consumption Prediction Using Machine Learning (2021)

Transfer Learning for Maritime Vessel Detection using Deep Neural Networks (2021)

RGB and Depth Image Fusion for Object Detection Using Deep Learning (2021)

Towards Autonomous Industrial Warehouse Inspection (2021)

Driver Drowsiness Detection Using Deep Convolutional Neural Network (2021)

Multi-pig Pose Estimation Using DeepLabCut (2021)

Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)