Fahimeh Farahnakian

48 papers B 2C 10Misc 2Journal 9Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An Ensemble Modeling Approach for Mapping Critical Mineral Distribution with LiDAR and PRISMA Data. GISTAM Fahimeh Farahnakian, Mahyar Yousefi, Ana Cláudia Teodoro
2025	J	`jnl`	Enhancing hurdles athletes' performance analysis: A comparative study of cnn-based pose estimation frameworks. Multim. Tools Appl. Pouya Jafarzadeh, Luca Zelioli, Petra Virjonen, Fahimeh Farahnakian, Paavo Nevalainen, Jukka Heikkonen
2025	J	`jnl`	Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. Ecol. Informatics Luca Zelioli, Fahimeh Farahnakian, Maarit Middleton, Timo P. Pitkänen, Sakari Tuominen, Paavo Nevalainen, Jonne Pohjankukka, Jukka Heikkonen
2025	—	`conf`	S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry. GISTAM Ana Cláudia Teodoro, Joana Cardoso-Fernandes, Mihaela Gheorghe, Francesco Falabella, Fabiana Calò, Antonio Pepe, Delira Hanelli, Andreas Knobloch, Roberto De La Rosa, Fahimeh Farahnakian, Georgios Periklis Georgalas, Enoc Sanz-Ablanedo, Vaughan Williams, Kristof Ostir
2024	C	`conf`	A Comparative Study of Machine Learning Models for Pixel-Wise Acid Mine Drainage Classification Using Sentinel-2. IGARSS Fahimeh Farahnakian, Johanna Torppa, Nike Luodes, Hannu Panttila, Teemu Karlsson
2024	C	`conf`	Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. FUSION Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen
2024	J	`jnl`	Machine Learning Algorithms for Acid Mine Drainage Mapping Using Sentinel-2 and Worldview-3. Remote. Sens. Fahimeh Farahnakian, Nike Luodes, Teemu Karlsson
2024	—	`conf`	Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain. ICPR (Workshops and Challenges, 4) Fahimeh Farahnakian, Farshad Farahnakian, Javad Sheikh, Steven Downey, Vaughan Williams, Jukka Heikkonen
2024	—	`conf`	SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. ICPR (26) Javad Sheikh, Farshad Farahnakian, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen
2023	J	`jnl`	A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior. Remote. Sens. Farshad Farahnakian, Florent Nicolas, Fahimeh Farahnakian, Paavo Nevalainen, Javad Sheikh, Jukka Heikkonen, Csaba Raduly-Baka
2023	—	`conf`	CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. ROSE Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen
2023	Misc	`conf`	Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. FRUCT Dipak Kumar Nidhi, Iiro Seppä, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth
2023	—	`conf`	Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach. ICAC Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen
2023	C	`conf`	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen
2023	—	`conf`	Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture. ITSC Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen
2023	C	`conf`	Short and Long Term Vessel Movement Prediction for Maritime Traffic. critis Farshad Farahnakian, Fahimeh Farahnakian, Javad Sheikh, Paavo Nevalainen, Jukka Heikkonen
2021	—	`conf`	Towards Autonomous Industrial Warehouse Inspection. ICAC Fahimeh Farahnakian, Lauri Koivunen, Tuomas Mäkilä, Jukka Heikkonen
2021	—	`conf`	Transfer Learning for Maritime Vessel Detection using Deep Neural Networks. ITSC Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen
2020	C	`conf`	A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection. ICMLA Fahimeh Farahnakian, Jukka Heikkonen
2020	—	`conf`	Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. ICME Workshops Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen
2020	J	`jnl`	Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection. Remote. Sens. Fahimeh Farahnakian, Jukka Heikkonen
2020	C	`conf`	Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks. FUSION Fahimeh Farahnakian, Jukka Heikkonen
2020	—	`conf`	RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles. ICSPCS Fahimeh Farahnakian, Jukka Heikkonen
2019	—	`conf`	Comparative Analysis of Image Fusion Methods in Marine Environment. ROSE Fahimeh Farahnakian, Parisa Movahedi, Jussi Poikonen, Eero Lehtonen, Dimitrios Makris, Jukka Heikkonen
2019	—	`conf`	Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment. ITSC Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Jukka Heikkonen
2019	J	`jnl`	Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model. IEEE Trans. Cloud Comput. Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen
2019	C	`conf`	Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment. FUSION Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Dimitrios Makris, Jukka Heikkonen
2018	—	`conf`	A deep auto-encoder based approach for intrusion detection system. ICACT Fahimeh Farahnakian, Jukka Heikkonen
2018	—	`conf`	An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments. ITSC Mohammad Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen
2018	C	`conf`	Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. ICMLA Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
2016	B	`conf`	Self-Adaptive Resource Management System in IaaS Clouds. CLOUD Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala
2015	J	`jnl`	Using Ant Colony System to Consolidate VMs for Green Cloud Computing. IEEE Trans. Serv. Comput. Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen
2015	B	`conf`	Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing. CLOUD Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
2014	J	`jnl`	Adaptive load balancing in learning-based approaches for many-core embedded systems. J. Supercomput. Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
2014	J	`jnl`	Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs. Microprocess. Microsystems Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
2014	—	`conf`	Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System. IEEE CLOUD Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen
2014	C	`conf`	Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement Learning. PDP Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
2014	—	`conf`	Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers. IEEE CLOUD Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
2014	C	`conf`	Hierarchical VM Management Architecture for Cloud Data Centers. CloudCom Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen
2014	—	`conf`	Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers. EUROMICRO-SEAA Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
2013	Misc	`conf`	Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. UCC Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
2013	—	`conf`	LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers. EUROMICRO-SEAA Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
2012	—	`conf`	Adaptive reinforcement learning method for networks-on-chip. ICSAMOS Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg
2012	—	`conf`	HARAQ: Congestion-Aware Learning Model for Highly Adaptive Routing Algorithm in On-Chip Networks. NOCS Masoumeh Ebrahimi, Masoud Daneshtalab, Fahimeh Farahnakian, Juha Plosila, Pasi Liljeberg, Maurizio Palesi, Hannu Tenhunen
2012	—	`conf`	Optimized Q-learning model for distributing traffic in on-Chip Networks. NESEA Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg
2011	—	`conf`	Q-learning based congestion-aware routing algorithm for on-chip network. NESEA Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
2009	—	`conf`	Reinforcement Learning for Soccer Multi-agents System. CIS (2) Fahimeh Farahnakian, Nasser Mozayani
2008	—	`conf`	Learning through Decision Tree in Simulated Soccer Environment. CIS (2) Fahimeh Farahnakian, Nasser Mozayani