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![Fig. 1. Components of the Von Neumann Architecture [27]](publication/372114908/figure/fig1/AS:11431281173128600@1688775474682/Components-of-the-Von-Neumann-Architecture-27_Q320.jpg)
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Mobile devices are playing an important role in our daily lives. Nowadays, mobile devices are not only phones to call and text, but they are also smart devices that enable users to do almost any task that could be done on a regular PC. At the heart of the design of smartphones, there lies the processor to which almost all the development in the sma...
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... they both have Cortext-A78 with higher CPU Clock rate rather than Kirin processor. Figure 5 shows the results of running the Geekbench on the same three processors, this time on a multicore basis. Kirin 980 is in the last place again, this is because it has Cortex-A78 cores and Cortex-A55 cores which have lower specifications than those of the Cortex-A78 and Cortex-A55 cores that used in Snapdragon 778G+ and Exynos 1280. ...
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... Statistical data comprises a collection of numerical or categorical information obtained through diverse methods like surveys, experiments, or observations [26]. This data is subject to analysis and interpretation, facilitating conclusions, predictions, and informed decision-making. ...
In this paper, we introduce a novel approach to address the dynamic prediction of customer activity in electronic payment transactions for individual clients. Our approach is founded on customer online payment transaction records from registered UK-based online retailers between 01/12/2009 and 09/12/2011. These retailers primarily specialize in unique gift items for various occasions, catering to a wide range of clients, including wholesalers. We used classification analysis based on the correlation coefficient to measure and describe a customer's electronic payment capability based on the quality of products they purchase. Furthermore, we trained multi-layered models (linear model, deep learning, random forest, and support vector machines (SVM)) to capture the dynamics of e-bank transaction reinforcement for retail customers using machine learning. Real transaction data from a UK online retailer was employed in our study. The experimental results consistently demonstrated the effectiveness of our proposed strategy. Keywords: Deep learning Linear model Machine learning Random forest SVM This is an open access article under the CC BY-SA license.
This study delves into the pivotal role played by cross-cutting factors within the curriculum life cycle, with a particular emphasis on their impact on the development, implementation, and evaluation of a knowledge-based curriculum. We highlight the National Qualifications Framework (NQF) as a crucial component in ensuring that students acquire subject-specific knowledge and skills. In our research, we underscore the primary goal of the knowledge base integrated into the NQF. A knowledge-based curriculum, as our findings reveal, places a strong emphasis on the acquisition and retention of subject-specific knowledge, skills, and understanding. Regarding learning outcomes, our analysis highlights the focal point of a knowledge-based approach, concentrating on what students should know and understand upon completing a course or program. Our findings illustrate the stress placed on acquiring and retaining specific knowledge and understanding relevant to a particular subject or discipline. Our study suggests that a knowledge-based approach to learning outcomes is invaluable in ensuring that students possess a robust foundation in subject-specific knowledge, which, in turn, contributes to their academic and professional success. This study holds significance for individuals interested in dual study, apprenticeship, and NQF implementation, as it directly addresses the challenge of ensuring that students acquire both the knowledge and skills necessary for their chosen field of study or profession. The role of cross-cutting factors within the curriculum life cycle is a central theme, shedding light on the intricate interplay between knowledge-based education, learning outcomes, and skills development.
