Computational Intelligence

The simplicity of deployment and perpetual operation of energy harvesting devices provides a compelling proposition for a new class of edge devices for the Internet of Things. In particular, Computational Radio Frequency Identification (CRFID) devices are an emerging class of battery-free, computational, sensing enhanced devices that harvest all of their energy for operation.

  • Computational Intelligence
  • Last Updated On: 
    Sun, 07/29/2018 - 04:10

    The goal of the benchmark test library is to offer a set of tests which are wide in feature coverage, progressive and stable. It serves the purpose of evaluating the strength and weakness of matchers (by being progressive and wide coverage) and measuring the progress of matchers (by being stable and reusable over the years).

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Ontology Alignment Evaluation Initiative Team

    test

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Kun-Chou Lee

    This is the code and data for IS-RNN validation and research

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Fei Wang

    Dataset used in paper "Machine Learning Cryptanalysis of a Quantum Random Number Generator" published at IEEE TIFS.

     

  • Computational Intelligence
  • Last Updated On: 
    Mon, 05/13/2019 - 20:16
    Citation Author(s): 
    Nhan Duy Truong, Jing Yan Haw

    This dataset contains user online reviews of two tourist places namely London' Parks and Art Museums.

    London Parks Reviews

    In this dataset, the top five most visited parks are selected, such as St. James' Park, Hyde Park, Regent's Park, Kensington Park and Greenwich Park. For each park, 600 reviews from Jan to Sep 2017 are present in CSV format.

    London Art Museums

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Muhammad Afzaal, Muhammad Usman, Alvis Fong, Simon Fong

    Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remote sensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis.

  • Remote Sensing
  • Last Updated On: 
    Tue, 06/04/2019 - 10:58
    Citation Author(s): 
    Anselmo Ferreira, Siovani C. Felipussi, Ramon Pires, Sandra Avila, Geise Santos, Jorge Lambert, Jiwu Huang and Anderson Rocha

    Machine learning is becoming increasingly important for companies and the scientific community. It allows us to generate solutions for several problems faced by society. In this study, we perform a science mapping analysis on the machine learning research, in order to provide an overview of the scientific work during the last decade in this area and to show trends that could be the basis for future developments in the field of computer science. This study was carried out using the CiteSpace and SciMAT tools based on results from Scopus and Clarivate Web of Science.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Juan Rincon-Patino, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales

    A microstrip reflectarray antenna is a hybrid design of a reflector antenna and a planar phased array antenna where a feed element illuminates reflecting surface, which can be either flat, slightly curved or a non-uniform plane in order to convert a spherical wave produced by its feed into a plane wave. On the reflecting side of the surface, there might be a series of the printed patch, dipole, loop elements or just a dielectric layer without any power division network.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    peyman mahouti, Mehmet Ali Belen, Alper Çalışkan, Filiz Güneş

    The dataset provides data for the article " LSTM-based Argument Recommendation for Non-API Methods"

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Guangjie Li, Hui Liu

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