Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model

Hai, Tao; Ahmadianfar, Iman; Halder, Bijay; Heddam, Salim; Al-Areeq, Ahmed M.; Demir, Vahdettin; Kilinc, Huseyin Cagan; Abba, Sani I.; Tan, Mou Leong; Homod, Raad Z.; Yaseen, Zaher Mundher

doi:10.1007/s11356-024-33027-0

Environ Sci Pollut Res

2024

DOI: 10.1007/s11356-024-33027-0

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Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model

Tao Hai,

Iman Ahmadianfar,

Bijay Halder

et al.

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Cited by 2 publications

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A Model for Assessing the Impact of Intelligent Algorithms on the Translation Quality of Literary Works in Cross-Cultural Communication

2024

Applied Mathematics and Nonlinear Sciences

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In recent years, the accuracy and linguistic fluency of translation based on intelligent algorithms have been relatively close to that of human beings, and the application of intelligent algorithms has gradually become a research hotspot in the academic world. In this paper, it is found through relevant research that semantic retention, cultural appropriateness, linguistic fluency, content comprehensiveness and text readability are important factors in the application of intelligent algorithms for the translation of literary works for cross-cultural communication. To explore the degree of influence of these factors on the translation quality of literary works, this paper analyzes them using a multiple linear regression model. The first step in building the mathematical model for multiple linear regression is to construct it. Then, the formulas for calculating the goodness-of-fit and significance test of multiple linear regression equations are introduced. Finally, the regression model was tested using residual analysis and multicollinearity. The regression results show that the quality of literary translation = 0.165+0.124*Semantic retention + 0.356*Cultural appropriateness + 0.254*Linguistic fluency - 0.001*Content comprehensiveness + 0.256*Text accessibility. According to the results of the analysis, the impact of content comprehensiveness on the translation quality of literary works is not significant, and cultural appropriateness has the greatest impact on the translation quality of literary works.

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A Model for Assessing the Impact of Intelligent Algorithms on the Translation Quality of Literary Works in Cross-Cultural Communication

2024

Applied Mathematics and Nonlinear Sciences

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The interplay between the role of emerging technologies in the field of news communication and brand image building

Wang

2024

Applied Mathematics and Nonlinear Sciences

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Emerging technologies such as big data, the Internet of Things and artificial intelligence are developing rapidly and entering into many fields and industries, while their role in the field of news communication and brand image shaping has an important role in influencing. This paper selects WeChat, a Tencent product, as the research object and divides brand image shaping into four dimensions, namely brand awareness, brand trust, brand loyalty, and brand value, to test the relationship between emerging technologies and brand image shaping. Then, we put forward the research hypothesis of this paper and use empirical analysis to test the hypothesis and the empirical results show that the r-value of emerging technology and brand loyalty is 0.591, p<0.01, which proves that there is a positive correlation between the two. Emerging technologies have a significant positive impact on brand awareness, trust, loyalty, and value.

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Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model

Cited by 2 publications

References 51 publications

A Model for Assessing the Impact of Intelligent Algorithms on the Translation Quality of Literary Works in Cross-Cultural Communication

A Model for Assessing the Impact of Intelligent Algorithms on the Translation Quality of Literary Works in Cross-Cultural Communication

The interplay between the role of emerging technologies in the field of news communication and brand image building

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