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))

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023)

IEEE International Symposium on Robotic and Sensors Environments

Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)

Conference of Open Innovations Association FRUCT, Proceedings of Conference of Open Innovations Association FRUCT

Nidhi Dipak Kumar, Seppä Iiro, Farahnakian Fahimeh, Zelioli Luca, Heikkonen Jukka, Kanth Rajeev

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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))

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))

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

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

(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa)

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))

Ota yhteyttä

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Julkaisut

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

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023)

Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)

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)

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

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

Multi-pig Pose Estimation Using DeepLabCut (2021)