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    AuthorAkter, Syeda Selina (1)Aminikhanghahi, Samaneh (1)Aurentz, Jared Lee (1)Cain, Chris (1)Carter, Adam Scott (1)Chen, Chao (1)Chen, Zhen (1)Choi, Wonje (1)Choudhury, Sutanay (1)Cilingir, Gokcen (1)... View MoreSubject
    Computer science (64)
    Machine Learning (10)Artificial intelligence (6)Bioinformatics (5)Electrical engineering (5)Transfer Learning (4)Activity Recognition (3)Computer engineering (3)Data Mining (3)Machine learning (3)... View MoreDate Issued2019 (10)2018 (11)2017 (3)2016 (10)2015 (6)2014 (8)2013 (6)2012 (5)2011 (5)

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    Trade, territoriality, alliances and conflict : complexity science approaches to the archaeological record of the U.S. Southwest with a case study from Languedoc, France 

    Crabtree, Stefani A. (2016)
    This project utilizes network analysis and agent-based modeling to examine long-standing questions that can only now be asked with the rich data provided in southwestern Colorado and southern France: how Gauls and colonists ...
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    APPLICATIONS OF, AND ENHANCEMENTS TO, FINITE-DIFFERENCE-BASED SOLUTIONS TO PROBLEMS IN ELECTROMAGNETICS 

    Chen, Zhen (2013)
    We describe how the analytic field propagation (AFP) technique can be coupled with a total-field/scattered-field (TFSF) boundary to obtain a novel implementation of a "gen-eralized" total-field/scattered-field (G-TFSF) ...
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    Dynamic Content Generation for the Evaluation of Network Applications 

    Valgenti, Victor Craig (2012)
    Generating application-level content within network simulations and/or testbed environments tends toward an ad-hoc process reliant primarily on evaluator expertise. Such ad-hoc approaches are laborious and often fail to ...
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    Real-World Sensor Network Framework for Long-Term Volcano Monitoring 

    Huang, Renjie (2011)
    Wireless sensor network, composed of tens or hundreds of low-power and resource-constrained devices, has the potential to greatly enhance the understanding of volcanoes by permitting distributed deployments of sensor nodes ...
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    The Science of Home Automation 

    Thomas, Brian Louis (2017)
    Smart home technologies and the concept of home automation have become more popular in recent years. This popularity has been accompanied by social acceptance of passive sensors installed throughout the home. The subsequent ...
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    DESIGN AND EVALUATION OF PACKET CLASSIFICATION SYSTEMS ON MULTI-CORE ARCHITECTURE 

    Shaikot, Shariful Hasan (2012)
    Packet classification (PC) is the core mechanism used by network devices such as edgerouters, firewalls, and intrusion detection systems to classify incoming traffic based on the classificationpolicy. In decision-tree-based ...
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    Preparing Smart Environments for Life in the Wild: Feature-space and Multi-view Heterogeneous Transfer Learning 

    Feuz, Kyle Dillon (2014)
    With the ever-increasing abundance of sensing and computing devices embedded into our environments we have the opportunity to create personalized activity recognition ecosystems. Two key challenges must first be overcome, ...
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    A Non-destructive Analysis Method for Integrated Circuit-Based Finite State Machines 

    Smith, Jessica Lyn (2016)
    The world is becoming increasingly computerized; much of this computing hardware is put into silicon overseas, increasing the number of unknown or untrusted sourced ICs in critical systems. Current methods of determining ...
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    EXPLORING SOCIAL INTERVENTIONS FOR COMPUTER PROGRAMMING: LEVERAGING LEARNING THEORIES TO AFFECT STUDENT SOCIAL AND PROGRAMMING BEHAVIOR 

    Olivares, Daniel Michael (2019)
    The 2012 report by the US President’s Council of Advisors on Science and Technology (PCAST) predicts a deficit in the workforce for science, technology, engineering, and mathematics (STEM) in the following decade and ...
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    POLICY ADVICE, NON-CONVEX AND DISTRIBUTED OPTIMIZATION IN REINFORCEMENT LEARNING 

    Zhan, Yusen (2016)
    Transfer learning is a method in machine learning that tries to use previous training knowledge to speed up the learning process. Policy advice is a type of transfer learning method where a student agent is able to learn ...
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