Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (3)
  • Open Access

    ARTICLE

    Analysis of the Performances and Optimization of Polyurethane Concrete with a Large Percentage of Fly Ash

    Tingting Huo1, Jiaquan Xue2,*, Zhi’an Fu3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 437-450, 2023, DOI:10.32604/fdmp.2022.020696

    Abstract The properties of polyurethane concrete containing a large amount of fly ash are investigated, and accordingly, a model is introduced to account for the influence of fly ash fineness, water ratio, and loss of ignition (LOI) on its mechanical performances. This research shows that, after optimization, the concrete has a compressive strength of 20.8 MPa, a flexural strength of 3.4 MPa, and a compressive modulus of elasticity of 19.2 GPa. The main factor influencing 28 and 90 d compressive strength is fly ash content, water-binder ratio, and early strength agent content. More >

  • Open Access

    ARTICLE

    Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks

    P. Gnanasivam1, G. T. Bharathy1,*, V. Rajendran2, T. Tamilselvi1

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 55-65, 2023, DOI:10.32604/csse.2023.023374

    Abstract Wireless Communication is a system for communicating information from one point to other, without utilizing any connections like wire, cable, or other physical medium. Cognitive Radio (CR) based systems and networks are a revolutionary new perception in wireless communications. Spectrum sensing is a vital task of CR to avert destructive intrusion with licensed primary or main users and discover the accessible spectrum for the efficient utilization of the spectrum. Centralized Cooperative Spectrum Sensing (CSS) is a kind of spectrum sensing. Most of the test metrics designed till now for sensing the spectrum is produced by using the Sample Covariance Matrix… More >

  • Open Access

    ARTICLE

    Sammon Quadratic Recurrent Multilayer Deep Classifier for Legal Document Analytics

    Divya Mohan*, Latha Ravindran Nair

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3039-3053, 2022, DOI:10.32604/cmc.2022.024438

    Abstract In recent years, machine learning algorithms and in particular deep learning has shown promising results when used in the field of legal domain. The legal field is strongly affected by the problem of information overload, due to the large amount of legal material stored in textual form. Legal text processing is essential in the legal domain to analyze the texts of the court events to automatically predict smart decisions. With an increasing number of digitally available documents, legal text processing is essential to analyze documents which helps to automate various legal domain tasks. Legal document classification is a valuable tool… More >

Displaying 1-10 on page 1 of 3. Per Page