Fahimeh Farahnakian

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network (2025)

Ecological Informatics

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

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry (2025)

International Conference on Geographical Information Systems Theory, Applications and Management

Teodoro, Ana Cláudia; Cardoso-Fernandes, Joana; Gheorghe, Mihaela; Falabella, Francesco; Calò, Fabiana; Pepe, Antonio; Hanelli, Delira; Knobloch, Andreas; De La Rosa, Roberto; Farahnakian, Fahimeh; Georgalas, Georgios Periklis; Sanz-Ablanedo, Enoc; Williams, Vaughan; Oštir, Krištof

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)

Multimedia Tools and Applications

Jafarzadeh, Pouya; Zelioli, Luca; Virjonen, Petra; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain (2025)

Lecture Notes in Computer Science

Farahnakian, Fahimeh; Farahnakian, Farshad; Sheikh, Javad; Downey, Steven; Williams, Vaughan; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

A Comparative Study of a Real-Time Multi-Person Tracking System in an Urban Square Dataset (2025)

Jafarzadeh, Pouya; Zelioli, Luca; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Maritime vessel movement prediction: A temporal convolutional network model with optimal look-back window size determination (2025)

Farahnakian, Farshad; Nevalainen, Paavo; Farahnakian, Fahimeh; Vähämäki, Tanja; Heikkonen, Jukka

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning (2024)

International Conference on Pattern Recognition, Lecture Notes in Computer Science

Sheikh, Javad; Farahnakian, Farshad; Farahnakian, Fahimeh; Zelioli, Luca; Heikkonen, Jukka

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

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)

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

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Fahimeh

Farahnakian

Ota yhteyttä

Linkit

Julkaisut

Järjestä:

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network (2025)

S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry (2025)

Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)

Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain (2025)

A Comparative Study of a Real-Time Multi-Person Tracking System in an Urban Square Dataset (2025)

Maritime vessel movement prediction: A temporal convolutional network model with optimal look-back window size determination (2025)

SEDA: Similarity-Enhanced Data Augmentation for Imbalanced 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)