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:
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
Machine learning (ML) and data mining have established several effective applications in gene selection analysis. This paper review of machine learning supervised algorithms of gene selection. The high dimension that mean select a gene technique before submitting data to classifier. Supervised learning is learning involves an expert well-versed in the environment. We present a number of methods using machine learning supervised algorithms of gene selection data set leukaemia, colon, lymphoma. Furthermore, compare which algorithms is the best for using gene selection. Finding the accuracy of data set selection. The classification accuracy with minimum number of genes is improved better than further filtering and combination
This study aims at investigating the linkage between total quality management (TQM), perceived service quality (PSQ), as well as their impact on the patient satisfaction (PS) and behavior intentions (BIs) among Palestinian healthcare organizations.Drawing on a survey, results clearly indicated that TQM significantly affects PSQ and PS; PSQ positively influence PS and BIs and BIs are influenced positively by PS. Moreover, the positive link between PSQ and BIs is mediated by PS. A final model was developed that shows that both TQM and PSQ directly influence PS and BIs. On the basis of the results of this study, hospital managers are suggested to design management strategies that are more patient-centred and emphasize on technical as well as functional capabilities of the service providers in order to live up to the client’s expectations. The noteworthy contributions of this study, to the relevant literature, are the establishment of the direct effect of PSQ on BIs of customers and the confirmation of the mediating effect of PS on the positive link between PSQ and BIs. These findings are deemed significant in strategic planning leading to better customer satisfaction