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Wyszukujesz frazę "Dat, Pham Minh" wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Management Issues in Medical Industry in Vietnam
Autorzy:
Dat, Pham Minh
Huy, Dinh Tran Ngoc
Powiązania:
https://bibliotekanauki.pl/articles/1818203.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Wydział Ekonomii i Zarządzania
Tematy:
medical industry
management
Vietnam
TQM
risk management policie
branża medyczna
zarządzanie
Wietnam
zarządzanie ryzykiem
Opis:
Stock exchange has impacts on activities and capitals of medical companies in Vietnam market. However, medical firms still need researches to address some management issues including good practices of governance, good resources allocation and better risk management policies. Authors uses quantitative analysis and statistics, together with qualitative methods including synthesis and explanatory methods. We figure out CPI and stock price has negative relationship while there is positive correlation between stock price and Risk free rate (Rf). In conclusion, authors also propose total quality management perspective as well as recommend macro policies that affect company performance. For example, exchange rate policy could support USD/VND just little bit while inflation policy need to be controlled at low level. Key words: management capabilities, medical industry, Vietnam, TQM.
Źródło:
Management; 2021, 25, 1; 141-154
1429-9321
2299-193X
Pojawia się w:
Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Plans for better business performance of Sony in Japan - and suggestions for management and financial accounting transparency
Autorzy:
Dat, Nguyen Duy
Lan, Nguyen Thi Ngoc
Huy, Dinh Tran Ngoc
Yen, Ly Lan
Dung, Nguyen Tien
Dat, Pham Minh
Powiązania:
https://bibliotekanauki.pl/articles/1818317.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Wydział Ekonomii i Zarządzania
Tematy:
Sony company
business performance
stock prices
lending rate
market interest rate
firma Sony
wyniki biznesowe
zysk netto
cena akcji
kredyt
rynkowa stopa procentowa
Opis:
Through years Sony in Japan has shown success in bringing to themarket high quality products, and via technical inventions. Today risk management is one of vital issues in Sony to maintain its reputation in global markets. The purpose of this study is to find out impacts of economic factors at macro level on net profit of a big technological giant like Sony. We found that movement of net profit in big firms such as Sony will reflect the business health of technology system and the whole economy. The results of quantitative research, in a seven factor model, show that the increase in inflation, GDP (increasing too much) and lending rate and reducing risk free rate has a significant effect on reducing Sony net profit with the highest impact coefficient, the second is decreasing the exchange rate. Last but not least, this study proposes risk management solutions and business management plans to lower business risks, cost and enhance its net profit.
Źródło:
Management; 2020, 24, 2; 132-145
1429-9321
2299-193X
Pojawia się w:
Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid end-to-end approach integrating online learning with face-identification system
Autorzy:
Nguyene, Dat Van
Nguyen, Son Trung
Pham, Thi Hong Anh
Pham, Van Toan
Hoang, Thao Thu
Thanh, Ta Minh
Powiązania:
https://bibliotekanauki.pl/articles/27312886.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
facial recognition
visual search engine
end-to-end applications
online learning
ElasticSearch (ES)
ES
Opis:
Facial recognition has been one of the most intriguing and exciting research topics over the last few years. It involves multiple face-based algorithms such asfacial detection, facial alignment, facial representation, and facial recognition. However, all of these algorithms are derived from large deep-learning architectures, leading to limitations in development, scalability, accuracy, and deployment for public use with mere CPU servers. Also, large data sets that contain hundreds of thousands of records are often required for training purposes. In this paper, we propose a complete pipeline for an effective face-recognition application that requires only a small data set of Vietnamese celebrities and a CPU for training, solving the problem of data leakage, and the need for GPU devices. The pipeline is based on the combination of a conversion algorithm from face vectors to string tokens and the indexing & retrieval process by Elasticsearch, thereby tackling the problem of online learning in facial recognition. Compared with other popular algorithms on the same data set, our proposed pipeline not only outperforms the counterpart in terms of accuracy but also delivers faster inference, which is essential to real-time applications.
Źródło:
Computer Science; 2023, 24 (1); 141--161
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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