Farshad 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 )

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)

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)

AI-ARC Baltic Demo: Detecting Illegal Activities at Sea (2024)

International Conference on Information Fusion

Svenson, Pontus; Holst, Anders; Wallberg, Anders; Nevalainen, Paavo; Farahnakian, Farshad; Álamo, Alfonso; Germinara, Vincenzo; Schweizer, Daniel; Leicht, Matthis; Anneken, Mathias; Hoppe, Adrian H.; Karalis, Aristeidis; Ashraf, Labib; Beltrán, Maria Eugenia; Hernandez, Liss; Partanen, Petteri; Markkanen, Minna

(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))

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))

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))

Abnormal Behaviour Detection by Using Machine Learning-Based Approaches in the Marine Environment: A Literature Survey (2022)

International Conference on Electrical, Computer and Energy Technologies

Farahnakian Farshad, Heikkonen Jukka, Nevalainen Paavo

(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))

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

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

AI-ARC Baltic Demo: Detecting Illegal Activities at Sea (2024)

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

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

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

Abnormal Behaviour Detection by Using Machine Learning-Based Approaches in the Marine Environment: A Literature Survey (2022)

Driver Drowsiness Detection Using Deep Convolutional Neural Network (2021)