Fahimeh Farahnakian

Pose estimation of sow and piglets during free farrowing using deep learning (2024)

Journal of agriculture and food research

Farahnakian Fahimeh, Farahnakian Farshad, Björkman Stefan, Bloch Victor, Pastell Matti, Heikkonen Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)

Ore Geology Reviews

Farahnakian, Fahimeh; Sheikh, Javad; Zelioli, Luca; Nidhi, Dipak; Seppä, Iiro; Ilo, Rami; Nevalainen, Paavo; Heikkonen, Jukka

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Short and Long Term Vessel Movement Prediction for Maritime Traffic (2024)

Critical Information Infrastructures Security, Lecture Notes in Computer Science

Farahnakian, Farshad; Farahnakian, Fahimeh; Sheikh, Javad; Nevalainen, Paavo; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

A comparative study of state-of-the-art deep learning architectures for rice grain classification (2024)

Journal of agriculture and food research

Farahnakian Farshad, Sheikh Javad, Farahnakian Fahimeh, Heikkonen Jukka

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

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture (2024)

International Conference on Information Fusion

Zelioli, Luca; Farahnakian, Fahimeh; Farahnakian, Farshad; Middleton, Maarit; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach (2023)

International Conference on Automation and Computing (ICAC)

Sheikh Javad, Farahnakian Fahimeh, Farahnakian Farshad, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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))

Deep Learning and Computer Vision in Remote Sensing (2023)

Farahnakian Fahimeh, Heikkonen Jukka, Jafarzadeh Pouya

(Toimitustyö tieteelliselle lehdelle, kokoomateokselle tai konferenssijulkaisulle (C2))

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Pose estimation of sow and piglets during free farrowing using deep learning (2024)

Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)

Short and Long Term Vessel Movement Prediction for Maritime Traffic (2024)

A comparative study of state-of-the-art deep learning architectures for rice grain classification (2024)

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture (2024)

Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach (2023)

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)

Deep Learning and Computer Vision in Remote Sensing (2023)