Fahimeh Farahnakian

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)

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 )

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))

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland (2023)

International Conference on Information Fusion (FUSION)

Farahnakian Fahimeh, Zelioli Luca, Pitkänen Timo, Pohjankukka Jonne, Middleton Maarit, Tuominen Sakari, Nevalainen Paavo, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture (2023)

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

Sheikh Javad, Farahnakian Fahimeh, Farahnakian Farshad, Heikkonen Jukka

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi (2023)

International Conference on Artificial Intelligence, Robotics and Control

Jafarzadeh Pouya, Zelioli Luca, Farahnakian Fahimeh, Nevalainen Paavo, Heikkonen Jukka, Hemminki Petteri, Andersson Christian

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

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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)

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

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)

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland (2023)

Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture (2023)

Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi (2023)