Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rapeepun Piriyakul"'
Publikováno v:
Journal of Humanities and Social Sciences Mahasarakham University, Vol 40, Iss 2, Pp 108-121 (2021)
Problems of hawkers and their stalls, in slum communities in the Bangkok area, affect the environment and the standard of living. The purpose of the research was to 1) study the level of administrative factors, namely to support the network taking ad
Externí odkaz:
https://doaj.org/article/42ab0a5df4e64eddb71da0aa5ae1be86
Publikováno v:
Journal of Engineering and Applied Sciences. 14:8109-8113
Publikováno v:
Open Journal of Business and Management. :502-518
This research aimed to study the application of knowledge to create open innovation of Thai automotive parts manufacturers. Data collection was conducted by using an in-depth interview form that was developed by setting interview topics and open-ende
Publikováno v:
Open Journal of Business and Management. :892-907
This research aimed to investigate the frameworks that help create the remarkable image of the retail stores in terms of environment, shop management and product as well as the ability of the staff to operate the convenience stores. The samples were
Publikováno v:
International Journal of Business Administration. 10:13
The objective of this research was to investigate the knowledge from closed and open systems that affect the innovation capability of employees in the Thai automotive industry. The study was conducted by reviewing related literature and theories and
Publikováno v:
Journal of Information Processing Systems.
This paper aims to extract an ObjectProperty-UsageMethod relation, in particular the HerbalMedicinalProperty- UsageMethod relation of the herb-plant object, as a semantic relation between two related sets, a herbalmedicinal- property concept set and
Publikováno v:
2009 Eighth International Symposium on Natural Language Processing.
This research aim to determine the explanation knowledge boundary for improvement of basic diagnosis. This paper compares different machine learning techniques including Maximum Entropy, Bayesian Networks, and Naive Bayes for solving the boundary det