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  • Open Access

    ARTICLE

    Prediction of Apple Fruit Quality by Soil Nutrient Content and Artificial Neural Network

    Mengyao Yan1, Xianqi Zeng1, Banghui Zhang1, Hui Zhang2, Di Tan1, Binghua Cai1, Shenchun Qu1, Sanhong Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 193-208, 2023, DOI:10.32604/phyton.2022.023078 - 06 September 2022

    Abstract The effect of soil nutrient content on fruit yield and fruit quality is very important. To explore the effect of soil nutrients on apple quality we investigated 200 fruit samples from 40 orchards in Feng County, Jiangsu Province. Soil mineral elements and fruit quality were measured. The effect of soil nutrient content on fruit quality was analyzed by artificial neural network (ANN) model. The results showed that the prediction accuracy was highest (R2 = 0.851, 0.847, 0.885, 0.678 and 0.746) in mass per fruit (MPF), hardness (HB), soluble solids concentrations (SSC), titratable acid concentration (TA) and solid-acid ratio More >

  • Open Access

    ARTICLE

    MMALE—A Methodology for Malware Analysis in Linux Environments

    José Javier de Vicente Mohino1, Javier Bermejo Higuera1, Juan Ramón Bermejo Higuera1, Juan Antonio Sicilia Montalvo1,*, Manuel Sánchez Rubio1, José Javier Martínez Herraiz2

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1447-1469, 2021, DOI:10.32604/cmc.2021.014596 - 05 February 2021

    Abstract In a computer environment, an operating system is prone to malware, and even the Linux operating system is not an exception. In recent years, malware has evolved, and attackers have become more qualified compared to a few years ago. Furthermore, Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things (IoT) devices. Windows is the most employed OS, so most of the research efforts have been focused on its malware protection rather than on other operating systems. As a result,… More >

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