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  • Open Access

    ARTICLE

    Strategic Renewable Energy Resource Selection Using a Fuzzy Decision-Making Method

    Anas Quteishat1,2,*, M. A. A. Younis2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2117-2134, 2023, DOI:10.32604/iasc.2023.029419 - 19 July 2022

    Abstract Renewable energy is created by renewable natural resources such as geothermal heat, sunlight, tides, rain, and wind. Energy resources are vital for all countries in terms of their economies and politics. As a result, selecting the optimal option for any country is critical in terms of energy investments. Every country is nowadays planning to increase the share of renewable energy in their universal energy sources as a result of global warming. In the present work, the authors suggest fuzzy multi-characteristic decision-making approaches for renewable energy source selection, and fuzzy set theory is a valuable methodology More >

  • Open Access

    ARTICLE

    Predicting Resource Availability in Local Mobile Crowd Computing Using Convolutional GRU

    Pijush Kanti Dutta Pramanik1, Nilanjan Sinhababu2, Anand Nayyar3,4,*, Mehedi Masud5, Prasenjit Choudhury1

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5199-5212, 2022, DOI:10.32604/cmc.2022.019630 - 11 October 2021

    Abstract In mobile crowd computing (MCC), people’s smart mobile devices (SMDs) are utilized as computing resources. Considering the ever-growing computing capabilities of today’s SMDs, a collection of them can offer significantly high-performance computing services. In a local MCC, the SMDs are typically connected to a local Wi-Fi network. Organizations and institutions can leverage the SMDs available within the campus to form local MCCs to cater to their computing needs without any financial and operational burden. Though it offers an economical and sustainable computing solution, users’ mobility poses a serious issue in the QoS of MCC. To… More >

  • Open Access

    ARTICLE

    Analysis of Software Success Through Structural Equation Modeling

    Muhammad Hamid1,*, Furkh Zeshan2, Adnan Ahmad2, Saadia Malik3, Muhammad Saleem4, Nadia Tabassum5, Muhammad Qasim1

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1689-1701, 2022, DOI:10.32604/iasc.2022.020898 - 09 October 2021

    Abstract Determining factors influencing the success of software projects has been the emphasis of extensive research for more than 40 years. However, the majority of research in this domain has focused on developed countries, with little attention paid to underdeveloped and developing countries. The primary objective of this article was to assess the effect of critical elements on the success of software projects in underdeveloped countries (like Pakistan), because enterprise environmental factors and staff working habits, as well as their experience and expertise level, all have an effect on a project's success. For this purpose, data More >

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