Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
In this paper, we seek to present or explain how an application that helps in the process of diagnosing the Corona virus (COVID-19) was designed through the use of X-rays of the respiratory system of the person to be examined where this application was built based on artificial intelligence techniques that are represented in the algorithms of learning machine and deep learning, and with the expectation of a rapid increase in the spread of infection and the emergence of new cases, due to the scarcity of health resources, which require a long time in conducting tests in the laboratories for diagnosing the virus, according to which these results diagnose the patient, as no quarantine is imposed on the person who is the furthest to obtain the result, and it is this period that is waiting The results will spread the virus more quickly due to crowding. We have focused on this situation where the application displays the results very quickly too. The application can move in more than one health center, even in poor areas. Where the main idea is to take an X-ray for a person, enter the image for application, and give immediate results in less than a second, which helps in speeding the diagnosis and reducing congestion
This study aims to investigate the TAM factors of mobile banking intention to use and use behaviors. This study employs a sequential explanatory strategy of a mixed-method, involving 140 respondents in Jakarta for the quantitative data, and conducting in-depth interviews with several of the respondents who filled in the data survey in quantitative data collection. The findings show that not all hypotheses of the TAM are accepted. The study proves that ease in mobile banking using creates the perception of usefulness in users' thinking. And the ease of use is an essential stimulus that encourages them to use mobile banking. But the usefulness perception does not prove to be a driver for using it. Finally, when users have ever used mobile banking, they want to use it again. The originality of the research is that although the ease of use influences perceived usefulness and the ease of use also influences the intention to use, this research shows that perceived usefulness does not change its intention