Fahimeh Farahnakian

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))

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 )

Deep Learning and Computer Vision in Remote Sensing (2023)

Farahnakian Fahimeh, Heikkonen Jukka, Jafarzadeh Pouya

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

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))

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))

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)

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))

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)

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))

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))

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

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

Deep Learning and Computer Vision in Remote Sensing (2023)

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

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

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

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

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

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

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