Fahimeh Farahnakian

发表

A deep auto-encoder based approach for intrusion detection system

Fahimeh Farahnakian, Jukka Heikkonen, J. Heikkonen, 2018, 2018 20th International Conference on Advanced Communication Technology (ICACT).

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets

Johan Lilius, Fahimeh Farahnakian, Jukka Heikkonen, 2020, 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

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

Hannu Tenhunen, Pasi Liljeberg, Tapio Pahikkala, 2019, IEEE Transactions on Cloud Computing.

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

Fahimeh Farahnakian, Jukka Heikkonen, J. Heikkonen, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Artificial Immune System Based Intrusion Detection: Innate Immunity using an Unsupervised Learning Approach

Timo D. Hämäläinen, Juha Plosila, Fahimeh Farahnakian, 2014 .

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

Fahimeh Farahnakian, Jukka Heikkonen, Jussi Poikonen, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Self-Adaptive Resource Management System in IaaS Clouds

Pasi Liljeberg, Rami Bahsoon, Tapio Pahikkala, 2016, 2016 IEEE 9th International Conference on Cloud Computing (CLOUD).

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

Jukka Heikkonen, Fahimeh Farahnakian, J. Heikkonen, 2020, Remote. Sens..

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

Jukka Heikkonen, Dimitrios Makris, Fahimeh Farahnakian, 2019, 2019 22th International Conference on Information Fusion (FUSION).

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

Pasi Liljeberg, Juha Plosila, Fahimeh Farahnakian, 2014, 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

2012 Sixth IEEE/ACM International Symposium on Networks-on-Chip (NoCS), Copenhagen, Denmark, 9-11 May, 2012

Natalie D. Enright Jerger, Hannu Tenhunen, Meikang Qiu, 2012, NOCS.

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

Jukka Heikkonen, Juha Plosila, M. H. Haghbayan, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Adaptive reinforcement learning method for networks-on-chip

Pasi Liljeberg, Masoud Daneshtalab, Juha Plosila, 2012, 2012 International Conference on Embedded Computer Systems (SAMOS).

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

Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, 2013, 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing.

Comparative Analysis of Image Fusion Methods in Marine Environment

Dimitrios Makris, Fahimeh Farahnakian, Jukka Heikkonen, 2019, 2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE).

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

Pasi Liljeberg, Masoud Daneshtalab, Juha Plosila, 2012, 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA).

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

Jukka Heikkonen, M. H. Haghbayan, Fahimeh Farahnakian, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Learning through Decision Tree in Simulated Soccer Environment

Nasser Mozayani, Fahimeh Farahnakian, 2008, 2008 International Conference on Computational Intelligence and Security.

Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing

Hannu Tenhunen, Pasi Liljeberg, Tapio Pahikkala, 2015, 2015 IEEE 8th International Conference on Cloud Computing.

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

Pasi Liljeberg, Masoud Daneshtalab, Juha Plosila, 2011, 2011 IEEE 2nd International Conference on Networked Embedded Systems for Enterprise Applications.

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

Hannu Tenhunen, Pasi Liljeberg, Masoud Daneshtalab, 2012, 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip.

Reinforcement Learning for Soccer Multi-agents System

Nasser Mozayani, Fahimeh Farahnakian, N. Mozayani, 2009, 2009 International Conference on Computational Intelligence and Security.

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

Hannu Tenhunen, Pasi Liljeberg, Tapio Pahikkala, 2014, 2014 IEEE 7th International Conference on Cloud Computing.

Using Ant Colony System to Consolidate VMs for Green Cloud Computing

Hannu Tenhunen, Pasi Liljeberg, Tapio Pahikkala, 2015, IEEE Transactions on Services Computing.

RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles

Fahimeh Farahnakian, Jukka Heikkonen, J. Heikkonen, 2020, 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS).

Hierarchical VM Management Architecture for Cloud Data Centers

Hannu Tenhunen, Pasi Liljeberg, Tapio Pahikkala, 2014, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.

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

Pasi Liljeberg, Masoud Daneshtalab, Juha Plosila, 2014, Microprocess. Microsystems.

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

Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, 2014, 2014 IEEE 7th International Conference on Cloud Computing.

Evaluating Feature Selection Techniques in Simulated Soccer Multi Agents System

Nasser Mozayani, Fahimeh Farahnakian, 2009, 2009 International Conference on Advanced Computer Control.

Energy and Performance: Management of Virtual Machines: Provisioning, Placement, and Consolidation

Fahimeh Farahnakian, F. Farahnakian, 2016 .

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

Pasi Liljeberg, Juha Plosila, Fahimeh Farahnakian, 2013, 2013 39th Euromicro Conference on Software Engineering and Advanced Applications.

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

Pasi Liljeberg, Masoud Daneshtalab, Juha Plosila, 2014, The Journal of Supercomputing.

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

Hannu Tenhunen, Pasi Liljeberg, Tapio Pahikkala, 2014, 2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications.

Transfer Learning for Maritime Vessel Detection using Deep Neural Networks

Jukka Heikkonen, Fahimeh Farahnakian, Luca Zelioli, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

IoT-Based Household Energy Consumption Prediction Using Machine Learning

Fahimeh Farahnakian, Jari-Pekka Paalassalo, Osmo Eerola, 2021 .