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    OWLED
    2007
    169views Natural Language Processing» more  OWLED 2007»
    Ontology-Based Management of the Telehealth Smart Home, Dedicated to Elderly in Loss of Cognitive Autonomy
    13 years 11 months ago
    Ontology-Based Management of the Telehealth Smart Home, Dedicated to Elderly in Loss of Cognitive Autonomy
    Download  webont.org
    Taking care of an elderly in loss of cognitive autonomy is a challenging task. Artificial agents, such as the Telehealth Smart Home (TSH) system can facilitate that task. However,...
    Fatiha Latfi, Bernard Lefebvre, Céline Desc...
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    AAAI
    2006
    136views Intelligent Agents» more  AAAI 2006»
    Building Explainable Artificial Intelligence Systems
    13 years 11 months ago
    Building Explainable Artificial Intelligence Systems
    Download  people.ict.usc.edu
    As artificial intelligence (AI) systems and behavior models in military simulations become increasingly complex, it has been difficult for users to understand the activities of co...
    Mark G. Core, H. Chad Lane, Michael van Lent, Dave...
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    AUSFORENSICS
    2004
    331views Forensic Engineering» more  AUSFORENSICS 2004»
    Wireless Snort - A WIDS in progress
    13 years 11 months ago
    Wireless Snort - A WIDS in progress
    Download  scissec.scis.ecu.edu.au
    The Snort intrusion detection system is a widely used and well-regarded open sourcesystem used for the detection of malicious activity in conventional wired networks. Recently, so...
    Craig Valli
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    CATE
    2004
    138views Education» more  CATE 2004»
    A Web Portal for Open-Source Synchronous Distance Education
    13 years 11 months ago
    A Web Portal for Open-Source Synchronous Distance Education
    Download  netlab.gmu.edu
    Network EducationWare (NEW) is an integrated collection of open-source software for synchronous Internet communication, where a class is simultaneously taught to local students an...
    J. Mark Pullen, Priscilla M. McAndrews
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    CSREAESA
    2004
    158views Embedded Systems» more  CSREAESA 2004»
    CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
    13 years 11 months ago
    CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
    Download  www.ece.umassd.edu
    - The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
    Howard E. Michel, David Rancour, Sushanth Iringent...
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