Competition, limited resources and human rights in radio spectrum allocation in Chile

Baeza, Chiara Sáez; García, Javier García

doi:10.1080/08263663.2022.2059194

Cited by 2 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper combines the method of human resource allocation based on recurrent neural network and conventional human resource allocation, in order to find a suitable method for personnel position selection and recommendation in the field of talent work. In terms of algorithm test, the F1 value of the proposed method is 0.823, which is 20.1% and 7.4% higher than the previous two methods, respectively, indicating that the method can effectively improve the hidden features, improve the training effect, and improve the performance of the model [6].…”

Section: Research Backgroundmentioning

confidence: 82%

Analysis of Human Resource Allocation Scheme for Digital Media Big Data Based on Recurrent Neural Network Model

Fang

2022

Journal of Sensors

View full text Add to dashboard Cite

At present, all kinds of computing models used in human society are based on statistics. Due to the large amount of data, conventional statistical methods cannot solve these problems well. In view of the concealment of data, the processing of large data plays a great role in the rational allocation of human resources, training professional talents, improving the operation of human resources, and improving the use and efficiency of human resources. This paper combines the method of human resource allocation based on recurrent neural network and conventional human resource allocation, in order to find a suitable method for personnel position selection and recommendation in the field of talent work. In terms of algorithm test, the F1 value of the proposed method is 0.823, which is 20.1% and 7.4% higher than the previous two methods, respectively, indicating that the method can effectively improve the hidden features, improve the training effect, and improve the performance of the model.

show abstract

Section: Research Backgroundmentioning

confidence: 82%

Analysis of Human Resource Allocation Scheme for Digital Media Big Data Based on Recurrent Neural Network Model

Fang

2022

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…Kele honey entrepreneurs need to comply with international regulations and standards to be able to operate legally in the global market (Biondi et al, 2020;Sáez & García, 2022). Compliance with these norms can ensure the credibility of their products in the eyes of international consumers.…”

Section: Introductionmentioning

confidence: 99%

“…This can include courses, seminars, or consultations with international market experts. Conduct a global market study (Biondi et al, 2020;Sáez & García, 2022) thoroughly to understand trends, consumer needs, and competition in international markets. Attend international trade shows and conferences to understand the latest developments in the industry, build business connections, and monitor global trends.…”

Section: Introductionmentioning

confidence: 99%

Global Marketing to Increase Income of Kele Honey Entrepreneurs in Balangan Sembung Mengwi Bali

Laksmi,

Selamet,

Pasek Mangku

et al. 2023

IJSMR

View full text Add to dashboard Cite

This study aims to analyze the effect of global marketing on increasing the income of kele honey entrepreneurs in Balangan Sembung Village, Mengwi, Bali. A total of 42 respondents participated in the study. Global marketing is considered to have a major impact on revenue, so this study is important to examine the effect of global marketing on revenue. The hypothesis in this study states that global marketing has a positive and significant influence on the income of honey kele entrepreneurs in Balangan Sembung Village, Mengwi, Bali. The analysis was conducted to assess the extent to which global marketing affects the increase in income of honey kele entrepreneurs. The results of this study are expected to provide insight into the importance of global marketing in increasing the income of honey kele entrepreneurs in the region. The implications of these findings are expected to support the development of more effective marketing strategies to market kele honey products globally, having a positive impact on their future income.

show abstract

Competition, limited resources and human rights in radio spectrum allocation in Chile

Cited by 2 publications

References 11 publications

Analysis of Human Resource Allocation Scheme for Digital Media Big Data Based on Recurrent Neural Network Model

Analysis of Human Resource Allocation Scheme for Digital Media Big Data Based on Recurrent Neural Network Model

Global Marketing to Increase Income of Kele Honey Entrepreneurs in Balangan Sembung Mengwi Bali

Contact Info

Product

Resources

About