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  • Open Access


    Identification and Visualization of Spatial and Temporal Trends in Textile Industry

    Umair Yousaf1, Muhammad Asif1, Shahbaz Ahmed1, Noman Tahir1, Azeem Irshad2, Akber Abid Gardezi3, Muhammad Shafiq4,*, Jin-Ghoo Choi4, Habib Hamam5,6,7,8

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4165-4181, 2023, DOI:10.32604/cmc.2023.026607

    Abstract The research volume increases at the study rate, causing massive text corpora. Due to these enormous text corpora, we are drowning in data and starving for information. Therefore, recent research employed different text mining approaches to extract information from this text corpus. These proposed approaches extract meaningful and precise phrases that effectively describe the text's information. These extracted phrases are commonly termed keyphrases. Further, these key phrases are employed to determine the different fields of study trends. Moreover, these key phrases can also be used to determine the spatiotemporal trends in the various research fields. In this research, the progress… More >

  • Open Access


    Bayesian Convolution for Stochastic Epidemic Model

    Mukhsar1,*, Ansari Saleh Ahmar2, M. A. El Safty3, Hamed El-Khawaga4,5, M. El Sayed6

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1175-1186, 2022, DOI:10.32604/iasc.2022.025214

    Abstract Dengue Hemorrhagic Fever (DHF) is a tropical disease that always attacks densely populated urban communities. Some factors, such as environment, climate and mobility, have contributed to the spread of the disease. The Aedes aegypti mosquito is an agent of dengue virus in humans, and by inhibiting its life cycle it can reduce the spread of the dengue disease. Therefore, it is necessary to involve the dynamics of mosquito's life cycle in a model in order to obtain a reliable risk map for intervention. The aim of this study is to develop a stochastic convolution susceptible, infective, recovered-susceptible, infective (SIR-SI) model… More >

  • Open Access


    The birth prevalence, severity, and temporal trends of congenital heart disease in the middle‐income country: A population‐based study

    Mohd Nizam Mat Bah1, Mohd Hanafi Sapian1, Mohammad Tamim Jamil1, Nisah Abdullah1, Emieliyuza Yusnita Alias1, Norazah Zahari2

    Congenital Heart Disease, Vol.13, No.6, pp. 1012-1027, 2018, DOI:10.1111/chd.12672

    Abstract Objectives: There is limited data on congenital heart disease (CHD) from the lower‐ and middle‐income country. We aim to study the epidemiology of CHD with the specific objective to estimate the birth prevalence, severity, and its trend over time.
    Design: A population‐based study with data retrieved from the Pediatric Cardiology Clinical Information System, a clinical registry of acquired and congenital heart dis‐ ease for children.
    Setting: State of Johor, Malaysia.
    Patients: All children (0‐12 years of age) born in the state of Johor between January 2006 and December 2015.
    Intervention: None.
    Outcome measure: The birth prevalence, severity, and temporal trend… More >

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