Classification and Regression Tree Models for Remote Recognition of Black and Odorous Water Bodies Based on Sensor Networks

Zhao, Qichao; Dong, Xuxin; Li, Guohong; Jin, Yongtao; Yang, Xiufeng; Qu, Yandan

doi:10.1155/2022/7390098

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Instead of evaluating each feature independently, the C&RT algorithm can examine interactions between two or more features. There are various methods for assessing interactions, such as the correlation coefficient between features, analysis of variance, or other statistical measures [87][88][89].…”

Section: Methodsmentioning

confidence: 99%

Future Challenges of the Electric Vehicle Market Perceived by Individual Drivers from Eastern Poland

Stoma,

Dudziak

2023

Energies

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In the past few years, it can be seen that the automotive market has been developing quite rapidly, especially when it comes to electric cars. This is because the development of sustainable cars seems to be an extremely important issue at the moment. Nowadays, cars with different propulsion systems (among others electric, hybrid, gas, or hydrogen) can be met on the roads. But, political action is mainly aimed at electric cars. Such an approach will certainly lead to fundamental changes in production processes in the near future via the emergence and development of new technologies in the field of electric passenger cars. Therefore, the manuscript discusses the concept of vehicles with different types of power supply, with the main emphasis on electric vehicles. The essence of electric vehicles, their genesis, rationale for development, and growth are indicated. The different markets around the world, through the prism of, on the one hand, programs supporting the purchase and use of this type of vehicle and, on the other hand, factors limiting and inhibiting their uptake, are also discussed. The research was conducted in a group of both current and potential drivers from Eastern Poland, with different categories of grouping variables used in the analyses. On the basis of the research carried out and the results obtained, it can be argued that due to various factors, the respondents’ opinions are varied, and there are no unambiguous conclusions stating that such solutions will soon be available. Indeed, a number of doubts and barriers were noted among respondents. Driver preferences are therefore a key issue, but production capacity and the profitability of investments in the purchase of vehicles with an electric power supply should also be taken into account.

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Section: Methodsmentioning

confidence: 99%

Future Challenges of the Electric Vehicle Market Perceived by Individual Drivers from Eastern Poland

Stoma,

Dudziak

2023

Energies

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Research on Multi-Index Comprehensive Recognition of Urban Black and Odorous Water Based on GF Satellite Image

Liu¹,

Li²,

Li³

et al. 2022

2022 5th International Conference on Data Science and Information Technology (DSIT)

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Study on the Distribution Patterns and Treatment Effectiveness of Water Body Pollution Monitoring by Remote Sensing Technology

Lin,

Jin,

Dong

et al. 2024

Applied Mathematics and Nonlinear Sciences

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With the continuous development of science and technology level, remote sensing technology has a wide range of application prospects in water pollution monitoring. The study combines the Grab-Cut image segmentation algorithm, atmospheric radiation correction, and water pollution identification to construct a remote sensing technology-based method for monitoring water pollution. The research is focused on analyzing the water quality distribution pattern of the upper and lower lakes in the sample lake area using the constructed water pollution monitoring method. On this basis, from the four dimensions of water pollution prevention and control, recycled water recycling, ecological restoration and protection, and environmental monitoring, the comprehensive management measures for water pollution are proposed. The pollutant contents of the upper and lower lakes before and after the management are compared to explore the effect of the comprehensive management of water pollution. The results show that COD contributes 86.77% to the water pollution in the sample lake area. The water quality of the upper and lower lakes is more distributed by class V and class III, which account for 36.67% and 43.33%, respectively. The proposed water pollution monitoring method is able to accurately identify and classify the pollution. After the comprehensive treatment, the COD and ammonia nitrogen content of the upper lake decreased by 30.51% and 37.43%, and that of the lower lake decreased by 35.90% and 39.06%. The effect of water pollution treatment was remarkable.

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Classification and Regression Tree Models for Remote Recognition of Black and Odorous Water Bodies Based on Sensor Networks

Cited by 4 publications

References 6 publications

Future Challenges of the Electric Vehicle Market Perceived by Individual Drivers from Eastern Poland

Future Challenges of the Electric Vehicle Market Perceived by Individual Drivers from Eastern Poland

Research on Multi-Index Comprehensive Recognition of Urban Black and Odorous Water Based on GF Satellite Image

Study on the Distribution Patterns and Treatment Effectiveness of Water Body Pollution Monitoring by Remote Sensing Technology

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