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Keyword: Chi-SquareAn Analysis of the Reliability of Reported COVID-19 Data in Western Balkan Countries
More than one year after the outbreak of the COVID-19 pandemic the behavior of figures published by official sources of the countries are skeptical for the public. Many probability tests are used to detect the reliability of information among which Benford’s Law. This study focused on the Western Balkan countries, as one of the foremost…
Read MoreAnalyzing the Adoption of E-payment Services in Smart Cities using Demographic Analytics: The Case of Dubai
This paper is an extension of previous research that has been done on factors affecting digital payment adoption in the UAE. This study focuses on analyzing which relevant demographic factors affect new e-payment technologies, mainly in the smart city Dubai, with more complexities and dynamics of variables that affect users’ behavior toward adopting new technologies.…
Read MoreVariation in Self-Perception of Professional Competencies in Systems Engineering Students, due to the COVID -19 Pandemic
The objective of this article is to determine if the self-perception of professional competences has been affected, in systems engineering students, during the health emergency declared in Peru by Covid-19; The results will allow the public university of Peru to make corrective decisions and formulate proposals to improve the functioning of the variable under study.…
Read MoreEconomic and Environmental Analysis of Life Expectancy in China and India: A Data Driven Approach
A data analytic approach presented in this work covers both data descriptive and predictive modeling with two main objectives: (1) discovering factors related to longevity of populations in the two most populated nations, China and India, and (2) generating life expectancy predictive models for both countries. Descriptive modeling methods to explore major environmental and economic…
Read MoreQuantitative Approach in Enhancing Decision Making Through Big Data as An Advanced Technology
The technology of Big Data got the capability to process large amounts of data, manage them effectively and make retrieval whenever it is required. Decision making in any organisation is a challenging task since decisions need to be made based on the accessibility of data and its status, this becomes more challenging especially in large…
Read MoreComputational Intelligence and Statistical Learning Performances on Predicting Dengue Incidence using Remote Sensing Data
Dengue is a viral infection disease transmitted to people through the bite of specific mosquito species living in a tropical zone. According to the World Health Organization, dengue has been listed among the top-ten diseases for 2019 as it makes 3.9 billion people in 128 countries be at risk of infection. One major cause of…
Read MoreEnhancing an SDN Architecture with DoS Attack Detection Mechanisms
A Software Defined Network (SDN) architecture is characterized by decoupling the data plane and control plane. This feature enables the establishment of a programmable environ- ment in which the control plane acts under the data plane, managing and configuring the network over a standard protocol, such as OpenFlow. Although there are numerous benefits to the…
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