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Agah [8]Arvin Agah [7]A. Agah [1]
  1.  5
    Human Skin Color Detection Using Neural Networks.Arvin Agah & Mohammadreza Hajiarbabi - 2015 - Journal of Intelligent Systems 24 (4):425-436.
    Human skin detection is an essential phase in face detection and face recognition when using color images. Skin detection is very challenging because of the differences in illumination, differences in photos taken using an assortment of cameras with their own characteristics, range of skin colors due to different ethnicities, and other variations. Numerous methods have been used for human skin color detection, including the Gaussian model, rule-based methods, and artificial neural networks. In this article, we introduce a novel technique of (...)
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  2.  4
    An Emotion Theory Approach to Artificial Emotion Systems for Robots and Intelligent Systems: Survey and Classification.Arvin Agah & Sylvia Tidwell Scheuring - 2014 - Journal of Intelligent Systems 23 (3):325-343.
    To assist in the evaluation process when determining architectures for new robots and intelligent systems equipped with artificial emotions, it is beneficial to understand the systems that have been built previously. Other surveys have classified these systems on the basis of their technological features. In this survey paper, we present a classification system based on a model similar to that used in psychology and philosophy for theories of emotion. This makes possible a connection to thousands of years of discourse on (...)
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  3.  3
    A Novel Efficient Algorithm for Locating and Tracking Object Parts in Low Resolution Videos.Arvin Agah & David O. Johnson - 2011 - Journal of Intelligent Systems 20 (1):79-100.
    In this paper, a novel efficient algorithm is presented for locating and tracking object parts in low resolution videos using Lowe's SIFT keypoints with a nearest neighbor object detection approach. Our interest lies in using this information as one step in the process of automatically programming service, household, or personal robots to perform the skills that are being taught in easily obtainable instructional videos. In the reported experiments, the system looked for 14 parts of inanimate and animate objects in 40 (...)
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  4.  3
    Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar. Agah, Stiles & Soto - 2009 - Journal of Intelligent Systems 18 (1-2):105-122.
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  5.  2
    Plan and Intent Recognition in a Multi-Agent System for Collective Box Pushing.Arvin Agah & Najla Ahmad - 2014 - Journal of Intelligent Systems 23 (1):95-108.
    In a distributed multi-agent system, an idle agent may be available to assist other agents in the system. An agent architecture called intent recognition is proposed in this article to accomplish this with minimal communication. To assist other agents in the system, an agent performing recognition observes the tasks other agents are performing. Unlike the much-studied field of plan recognition, the overall intent of an agent is recognized instead of a specific plan. The observing agent may use capabilities that it (...)
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  6.  1
    Design and Simulation of a Polar Mobile Robot. Agah & Akers - 2008 - Journal of Intelligent Systems 17 (4):379-404.
  7.  1
    Applied Artificial Intelligence Techniques for Identifying the Lazy Eye Vision Disorder.Gerhard W. Cibis, Arvin Agah & Patrick G. Clark - 2011 - Journal of Intelligent Systems 20 (2):101-127.
    Amblyopia, or lazy eye, is a neurological vision disorder that studies have shown to affect two to five percent of the population. Current methods of treatment produce the best visual outcome, if the condition is identified early in the patient's life. Several early screening procedures are aimed at finding the condition while the patient is a child, including an automated vision screening system. This paper aims to use artificial intelligence techniques to automatically identify children who are at risk for developing (...)
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  8.  1
    A Genetic Algorithm for Generating Radar Transmit Codes to Minimize the Target Profile Estimation Error.James M. Stiles, Arvin Agah & Brien Smith-Martinez - 2013 - Journal of Intelligent Systems 22 (4):503-525.
    This article presents the design and development of a genetic algorithm to generate long-range transmit codes with low autocorrelation side lobes for radar to minimize target profile estimation error. The GA described in this work has a parallel processing design and has been used to generate codes with multiple constellations for various code lengths with low estimated error of a radar target profile.
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  9. A Multi-Agent Approach to the Game of Go Using Genetic Algorithms. Agah & Blackman - 2009 - Journal of Intelligent Systems 18 (1-2):143-169.
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  10. Currency Exchange Rate Forecasting with Neural Networks. Agah & Nasution - 2000 - Journal of Intelligent Systems 10 (3):219-254.
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  11. Data Mining and Hypothesis Refinement Using a Multi-Tiered Genetic Algorithm. Agah & Taylor - 2010 - Journal of Intelligent Systems 19 (3):191-226.
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  12. Implementation of an Intelligent Force Feedback Multimedia Game. Agah & He - 2001 - Journal of Intelligent Systems 11 (2):75-94.
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  13. Multi-Agent Task Allocation for Robot Soccer. Agah & Baghaei - 2007 - Journal of Intelligent Systems 16 (3):207-240.
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  14. An Intelligent Information Retrieval System Using Automatic Word Sense Disambiguation. Gauch, Agah & Ramasubramanian - 2007 - Journal of Intelligent Systems 16 (2):135-166.
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