Short and Long Term Vessel Movement Prediction for Maritime Traffic. - Farshad Farahnakian; Fahimeh Farahnakian; Javad Sheikh; Paavo Nevalainen; Jukka Heikkonen (critis, 2023)

Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach. - Javad Sheikh; Fahimeh Farahnakian; Farshad Farahnakian; Jukka Heikkonen (ICAC, 2023)

Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture. - Javad Sheikh; Fahimeh Farahnakian; Farshad Farahnakian; Jukka Heikkonen (ITSC, 2023)

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. - Farshad Farahnakian; Florent Nicolas; Fahimeh Farahnakian; Paavo Nevalainen; Javad Sheikh; Jukka Heikkonen; Csaba Raduly-Baka (Remote. Sens., 2023)

AI-ARC Baltic Demo: Detecting Illegal Activities at Sea. - 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; et al. (FUSION, 2024)

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. - Luca Zelioli; Fahimeh Farahnakian; Farshad Farahnakian; Maarit Middleton; Jukka Heikkonen (FUSION, 2024)

Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain. - Fahimeh Farahnakian; Farshad Farahnakian; Javad Sheikh; Steven Downey; Vaughan Williams; Jukka Heikkonen (ICPR (Workshops and Challenges, 4), 2024)

SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. - Javad Sheikh; Farshad Farahnakian; Fahimeh Farahnakian; Luca Zelioli; Jukka Heikkonen (ICPR (26), 2024)