Fahimeh Farahnakian

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 24

Top Topics

Top Venues

Publications

Farshad Farahnakian, Fahimeh Farahnakian, Javad Sheikh, Paavo Nevalainen, Jukka Heikkonen
Short and Long Term Vessel Movement Prediction for Maritime Traffic. critis (2023)
Dipak Kumar Nidhi, Iiro Seppä, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kanth
Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. FRUCT (2023)
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) (2023)
Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen
Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach. ICAC (2023)
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)
Fahimeh Farahnakian, Luca Zelioli, Timo Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen
Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION (2023)
Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen
CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. ROSE (2023)
Fahimeh Farahnakian, Lauri Koivunen, Tuomas Mäkilä, Jukka Heikkonen
Towards Autonomous Industrial Warehouse Inspection. ICAC (2021)
Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen
Transfer Learning for Maritime Vessel Detection using Deep Neural Networks. ITSC (2021)
Fahimeh Farahnakian, Jukka Heikkonen
Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks. FUSION (2020)
Fahimeh Farahnakian, Jukka Heikkonen
Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection. Remote. Sens. 12 (16) (2020)
Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen
Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. ICME Workshops (2020)
Fahimeh Farahnakian, Jukka Heikkonen
A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection. ICMLA (2020)
Fahimeh Farahnakian, Jukka Heikkonen
RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles. ICSPCS (2020)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen
Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model. IEEE Trans. Cloud Comput. 7 (2) (2019)
Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Dimitrios Makris, Jukka Heikkonen
Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment. FUSION (2019)
Fahimeh Farahnakian, Parisa Movahedi, Jussi Poikonen, Eero Lehtonen, Dimitrios Makris, Jukka Heikkonen
Comparative Analysis of Image Fusion Methods in Marine Environment. ROSE (2019)
Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Jukka Heikkonen
Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment. ITSC (2019)
Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. ICMLA (2018)
Fahimeh Farahnakian, Jukka Heikkonen
A deep auto-encoder based approach for intrusion detection system. ICACT (2018)
Mohammad Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen
An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments. ITSC (2018)
Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala
Self-Adaptive Resource Management System in IaaS Clouds. CLOUD (2016)
Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen
Using Ant Colony System to Consolidate VMs for Green Cloud Computing. IEEE Trans. Serv. Comput. 8 (2) (2015)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing. CLOUD (2015)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers. IEEE CLOUD (2014)
Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen
Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System. IEEE CLOUD (2014)
Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
Adaptive load balancing in learning-based approaches for many-core embedded systems. J. Supercomput. 68 (3) (2014)
Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen
Hierarchical VM Management Architecture for Cloud Data Centers. CloudCom (2014)
Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement Learning. PDP (2014)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers. EUROMICRO-SEAA (2014)
Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs. Microprocess. Microsystems 38 (1) (2014)
Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers. EUROMICRO-SEAA (2013)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. UCC (2013)
Masoumeh Ebrahimi, Masoud Daneshtalab, Fahimeh Farahnakian, Juha Plosila, Pasi Liljeberg, Maurizio Palesi, Hannu Tenhunen
HARAQ: Congestion-Aware Learning Model for Highly Adaptive Routing Algorithm in On-Chip Networks. NOCS (2012)
Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg
Adaptive reinforcement learning method for networks-on-chip. ICSAMOS (2012)
Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg
Optimized Q-learning model for distributing traffic in on-Chip Networks. NESEA (2012)
Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
Q-learning based congestion-aware routing algorithm for on-chip network. NESEA (2011)
Fahimeh Farahnakian, Nasser Mozayani
Reinforcement Learning for Soccer Multi-agents System. CIS (2) (2009)
Fahimeh Farahnakian, Nasser Mozayani
Learning through Decision Tree in Simulated Soccer Environment. CIS (2) (2008)