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Behrouz H. Far

Observed names: B. H. Far, B.H. Far, BEHROUZ H. FAR, BEHROUZ HOMAYOUN FAR, Behrouz Far, Behrouz H Far, Behrouz HOMAYOUN.FAR, Behrouz Homayoun Far, Far, Behrouz, Far, Behrouz H., Far, Behrouz Homayoun
Observed institutions: Japan Atomic Energy Agency, University of Miyazaki, Chiba University, University of Calgary, Imam Khomeini International University, Saitama University
ORCID: 0000-0003-1589-8039
Observed ORCID: 0000-0003-1589-8039
OpenAlex ID: A5008779348
Reinforcement Learning based Recommender Systems: A Survey
2022 · M. Mehdi Afsar, Trafford Crump, et al. · ACM Computing Surveys · 505
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Reinforcement learning in urban network traffic signal control: A systematic literature review
2022 · Mohammad Noaeen, Atharva Naik, et al. · Expert Systems with Applications · 249
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Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study
2018 · Sahil Dhankhad, Emad Mohammed, et al. · IEEE International Conference on Information Reuse and Integration (IRI) · 213
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends
2014 · Emad A Mohammed, Behrouz H Far, et al. · BioData Mining · 145
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An efficient technique for white blood cells nuclei automatic segmentation
2012 · Mostafa Mohamed, Behrouz Far, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 95
An ensemble learning approach to digital corona virus preliminary screening from cough sounds
2021 · Emad A. Mohammed, Mohammad Keyhani, et al. · Scientific Reports · 92
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Dynamic Cloud Resource Allocation Considering Demand Uncertainty
2019 · Seyedehmehrnaz Mireslami, Logan Rakai, et al. · IEEE Transactions on Cloud Computing · 78
A model-based approach for testing the performance of web applications
2006 · Mahnaz Shams, Diwakar Krishnamurthy, et al. · 72
Vehicle Trajectory Prediction with Gaussian Process Regression in Connected Vehicle Environment$\star$
2018 · Sepideh Afkhami Goli, Behrouz H. Far, et al. · IEEE Intelligent Vehicles Symposium · 68
Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding
2013 · Emad A. Mohammed, Mostaja M. A. Mohamed, et al. · IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) · 65
Emerging Business Intelligence Framework for a Clinical Laboratory Through Big Data Analytics
2015 · Emad A. Mohammed, Christopher Naugler, et al. · Elsevier eBooks · 64
Peripheral blood smear image analysis: A comprehensive review
2014 · Emad A. Mohammed, Mostafa M.A. Mohamed, et al. · Journal of Pathology Informatics · 57
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Automating transition from use-cases to class model
2004 · D. Liu, K. Subramaniam, et al. · 57
Simultaneous Cost and QoS Optimization for Cloud Resource Allocation
2017 · Seyedehmehrnaz Mireslami, Logan Rakai, et al. · IEEE Transactions on Network and Service Management · 53
A methodology for the selection of requirements engineering techniques
2007 · Li Jiang, Armin Eberlein, et al. · Software & Systems Modeling · 52
Functional reasoning theories: Problems and perspectives
2005 · BEHROUZ HOMAYOUN FAR, A. HALIM ELAMY · Artificial intelligence for engineering design analysis and manufacturing · 52
Natural Language Requirements Analysis and Class Model Generation Using UCDA
2004 · Dong Liu, Kalaivani Subramaniam, et al. · Lecture notes in computer science · 49
Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks
2021 · Mohammad Noaeen, Reza Mohajerpoor, et al. · Transportation Research Part C Emerging Technologies · 44
A protocol for multi-agent negotiation in a group-choice decision making process
2006 · Tom Wanyama, Behrouz Homayoun Far · Journal of Network and Computer Applications · 42
Combining Requirements Engineering Techniques — Theory and Case Study
2005 · Li Jiang, A. Eberlein, et al. · IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (ECBS) · 40
UCDA: Use Case Driven Development Assistant Tool for Class Model Generation.
2004 · Kalaivani Subramaniam, Dong Liu, et al. · 38
Bi-ECDAQ: An electrochemical dual-immuno-biosensor accompanied by a customized bi-potentiostat for clinical detection of SARS-CoV-2 Nucleocapsid proteins
2022 · Razieh Salahandish, Fatemeh Haghayegh, et al. · Biosensors and Bioelectronics · 36
Ontology-guided learning to improve communication between groups of agents
2006 · Mohsen Afsharchi, Behrouz H. Far, et al. · Adaptive Agents and Multi-Agents Systems · 34
An enhanced threshold based technique for white blood cells nuclei automatic segmentation
2012 · Mostafa Mohamed, Behrouz Far · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · 31
Detecting performance interference in cloud-based web services
2015 · Yasaman Amannejad, Diwakar Krishnamurthy, et al. · IFIP/IEEE International Symposium on Integrated Network Management (IM) · 30
Works count: 331
Citation count: 3,687
H-index: 28
I10-index: 73
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