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Farshad Farahnakian
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Journal Articles
- 2023
- [j1]Farshad Farahnakian, Florent Nicolas, Fahimeh Farahnakian, Paavo Nevalainen, Javad Sheikh, Jukka Heikkonen, Csaba Raduly-Baka:
A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. Remote. Sens. 15(6): 1477 (2023)
Conference and Workshop Papers
- 2024
- [c6]Pontus Svenson, Anders Holst, Anders Wallberg, Paavo Nevalainen, Farshad Farahnakian, Alfonso Álamo, Vincenzo Germinara, Daniel Schweizer, Matthis Leicht, Mathias Anneken, Adrian H. Hoppe, Aristeidis Karalis, Ashraf Labib, María Eugénia Beltrán, Liss Hernández, Petteri Partanen, Minna Markkanen:
AI-ARC Baltic Demo: Detecting Illegal Activities at Sea. FUSION 2024: 1-8 - [c5]Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen:
Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. FUSION 2024: 1-7 - [c4]Javad Sheikh, Farshad Farahnakian, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen:
SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. ICPR (26) 2024: 32-47 - 2023
- [c3]Farshad Farahnakian, Fahimeh Farahnakian, Javad Sheikh, Paavo Nevalainen, Jukka Heikkonen:
Short and Long Term Vessel Movement Prediction for Maritime Traffic. critis 2023: 62-80 - [c2]Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen:
Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach. ICAC 2023: 1-6 - [c1]Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen:
Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture. ITSC 2023: 5989-5994
Coauthor Index
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