Fahimeh Farahnakian

According to our database, Fahimeh Farahnakian authored at least 38 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 2023

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery.

Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen

Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach.

Javad Sheikh, Fahimeh Farahnakian, Farshad Farahnakian, Jukka Heikkonen

Proceedings of the 28th International Conference on Automation and Computing, 2023

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland.

Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen

Proceedings of the 26th International Conference on Information Fusion, 2023

Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches.

Dipak Kumar Nidhi, Iiro Seppä, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth

Proceedings of the 34th Conference of Open Innovations Association, 2023

2021

Transfer Learning for Maritime Vessel Detection using Deep Neural Networks.

Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Towards Autonomous Industrial Warehouse Inspection.

Fahimeh Farahnakian, Lauri Koivunen, Tuomas Mäkilä, Jukka Heikkonen

Proceedings of the 26th International Conference on Automation and Computing, 2021

2020

Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection.

Fahimeh Farahnakian, Jukka Heikkonen

Remote. Sens., 2020

RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles.

Fahimeh Farahnakian, Jukka Heikkonen

Proceedings of the 14th International Conference on Signal Processing and Communication Systems, 2020

A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection.

Fahimeh Farahnakian, Jukka Heikkonen

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets.

Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks.

Fahimeh Farahnakian, Jukka Heikkonen

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen

IEEE Trans. Cloud Comput., 2019

Comparative Analysis of Image Fusion Methods in Marine Environment.

Fahimeh Farahnakian, Parisa Movahedi, Jussi Poikonen, Eero Lehtonen, Dimitrios Makris, Jukka Heikkonen

Proceedings of the 13th IEEE International Symposium on Robotic and Sensors Environments, 2019

Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment.

Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Jukka Heikkonen

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment.

Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Dimitrios Makris, Jukka Heikkonen

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments.

Mohammad Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment.

Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

A deep auto-encoder based approach for intrusion detection system.

Fahimeh Farahnakian, Jukka Heikkonen

Proceedings of the 20th International Conference on Advanced Communication Technology, 2018

2016

Self-Adaptive Resource Management System in IaaS Clouds.

Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015

Using Ant Colony System to Consolidate VMs for Green Cloud Computing.

Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen

IEEE Trans. Serv. Comput., 2015

Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

Adaptive load balancing in learning-based approaches for many-core embedded systems.

Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila

J. Supercomput., 2014

Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs.

Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila

Microprocess. Microsystems, 2014

Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement Learning.

Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila

Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen

Proceedings of the 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 2014

Hierarchical VM Management Architecture for Cloud Data Centers.

Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System.

Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila

Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers.

Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila

Proceedings of the 39th Euromicro Conference on Software Engineering and Advanced Applications, 2013

2012

Adaptive reinforcement learning method for networks-on-chip.

Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg

Proceedings of the 2012 International Conference on Embedded Computer Systems: Architectures, 2012

HARAQ: Congestion-Aware Learning Model for Highly Adaptive Routing Algorithm in On-Chip Networks.

Masoumeh Ebrahimi, Masoud Daneshtalab, Fahimeh Farahnakian, Juha Plosila, Pasi Liljeberg, Maurizio Palesi, Hannu Tenhunen

Proceedings of the 2012 Sixth IEEE/ACM International Symposium on Networks-on-Chip (NoCS), 2012

Optimized Q-learning model for distributing traffic in on-Chip Networks.

Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg

Proceedings of the 3rd IEEE International Conference on Networked Embedded Systems for Every Application, 2012

2011

Q-learning based congestion-aware routing algorithm for on-chip network.

Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila

Proceedings of the 2nd IEEE International Conference on Networked Embedded Systems for Enterprise Applications, 2011

2009

Reinforcement Learning for Soccer Multi-agents System.

Fahimeh Farahnakian, Nasser Mozayani

Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008

Learning through Decision Tree in Simulated Soccer Environment.

Fahimeh Farahnakian, Nasser Mozayani

Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008