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  • Open Access

    ARTICLE

    Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods

    Mohamed Ali Mohamed, Ibrahim Mahmoud El-Henawy, Ahmad Salah*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3473-3489, 2022, DOI:10.32604/cmc.2022.020782

    Abstract Price prediction of goods is a vital point of research due to how common e-commerce platforms are. There are several efforts conducted to forecast the price of items using classic machine learning algorithms and statistical models. These models can predict prices of various financial instruments, e.g., gold, oil, cryptocurrencies, stocks, and second-hand items. Despite these efforts, the literature has no model for predicting the prices of seasonal goods (e.g., Christmas gifts). In this context, we framed the task of seasonal goods price prediction as a regression problem. First, we utilized a real online trailer dataset of Christmas gifts and then… More >

  • Open Access

    ARTICLE

    Modeling the COVID-19 Pandemic Dynamics in Iran and China

    Jin Zhao1, Zubair Ahmad2,*, Zahra Almaspoor2

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2111-2122, 2021, DOI:10.32604/cmc.2021.014259

    Abstract The epidemic outbreak COVID-19 was first detected in the Wuhan city of China and then spread worldwide. It is of great interest to the researchers for its high rate of infection spread and its significant number of fatalities. A detailed scientific analysis of this phenomenon is yet to come. However, it is of interest of governments and other responsible institutions to have the right facts and figures to take every possible necessary action such as an arrangement of the appropriate quarantine activities, estimation of the required number of places in hospitals, assessment of the level of personal protection, and calculating… More >

  • Open Access

    ARTICLE

    Modeling COVID-19 Pandemic Dynamics in Two Asian Countries

    Jin Zhao1, Zubair Ahmad2,*, Zahra Almaspoor2, M. El-Morshedy3,4, Ahmed Z. Afify5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 965-977, 2021, DOI:10.32604/cmc.2021.014553

    Abstract The current epidemic outbreak COVID-19 first took place in the Wuhan city of China and then spread worldwide. This deadly disease affected millions of people and compelled the governments and other concerned institutions to take serious actions. Around 0.28 million people have died from the COVID-19 outbreak as of May 11, 2020, 05:41 GMT, and the number is still increasing exponentially. The results of any scientific investigation of this phenomenon are still to come. However, now it is urgently needed to evaluate and compare the disease dynamics to improve the quarantine activities and the level of individual protection, to at… More >

  • Open Access

    ARTICLE

    Is Social Distancing, and Quarantine Effective in Restricting COVID-19 Outbreak? Statistical Evidences from Wuhan, China

    Salman A. Cheema1, Tanveer Kifayat2, Abdu R. Rahman2, Umair Khan3, A. Zaib4, Ilyas Khan5,*, Kottakkaran Sooppy Nisar6

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1977-1985, 2021, DOI:10.32604/cmc.2020.012096

    Abstract The flow of novel coronavirus (COVID-19) has affected almost every aspect of human life around the globe. Being the emerging ground and early sufferer of the virus, Wuhan city-data remains a case of multifold significance. Further, it is of notable importance to explore the impact of unique and unprecedented public health response of Chinese authorities—the extreme lockdown of the city. In this research, we investigate the statistical nature of the viral transmission concerning social distancing, extreme quarantine, and robust lockdown interventions. We observed highly convincing and statistically significant evidences in favor of quarantine and social distancing approaches. These findings might… More >

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