Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Demand Forecasting Model"'
Autor:
Xuejie Niu
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e29582- (2024)
The advent of the Internet of Things (IoT) has accelerated the pace of economic development across all sectors. However, it has also brought significant challenges to traditional human resource management, revealing an increasing number of problems a
Externí odkaz:
https://doaj.org/article/ef774018bf534d0e805fee2ab456d240
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Rational hospital human resource allocation planning is important to improve the efficiency of China’s health human resource allocation and reduce the losses caused by staff waste and shortage. In this paper, we take the medical and nursing configu
Externí odkaz:
https://doaj.org/article/30aa0bc2ed164b318bef299751106fe0
Research on Talent Cultivation Mode of Vocational Education in the Context of Information Technology
Autor:
Chen Xinrui
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper mainly analyzes the educational level of vocational education in the context of information technology from the perspective of matching degrees of vocational education specialty settings and talent demand. Combined with the framework of vo
Externí odkaz:
https://doaj.org/article/f0e254e03927467a85536cc4c9988585
Publikováno v:
智慧农业, Vol 4, Iss 2, Pp 174-182 (2022)
To further improve the simulation and estimation accuracy of the supply and demand process of agricultural products, a large number of agricultural data at the national and provincial levels since 1980 were used as the basic research sample, includin
Externí odkaz:
https://doaj.org/article/2e2afdc47e0241feb45e2d240b3f39d3
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundThe resources available to fight an epidemic are typically limited, and the time and effort required to control it grow as the start date of the containment effort are delayed. When the population is afflicted in various regions, scheduling
Externí odkaz:
https://doaj.org/article/678f8918362643c0bef8b35022c6f05a
Autor:
Jin Kook Kim
Publikováno v:
Cheyuk gwahag yeon-gu, Vol 32, Iss 3, Pp 411-418 (2021)
PURPOSE The purpose of this study is to find the best model to predict the demand of visitors in Let’s Run Park by using machine learning and to provide effective data for establishing future marketing strategies. METHODS For this purpose, three me
Externí odkaz:
https://doaj.org/article/b6449f7912d64a948aa31ff990a4d1ac
Publikováno v:
Symmetry, Vol 15, Iss 3, p 670 (2023)
Accurately predicting online ride-hailing demand can help operators allocate vehicle resources on demand, avoid idle time, and improve traffic conditions. However, due to the randomness and complexity of online ride-hailing demand data, which are aff
Externí odkaz:
https://doaj.org/article/2557ed1829a7469d98f9f9041ca6e5e7
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