Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine learning algorithms to forecast air quality: a survey
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is
important to develop forecasting mechanisms that can be used by the authorities, so that …
important to develop forecasting mechanisms that can be used by the authorities, so that …
[HTML][HTML] Air Quality Index prediction using machine learning for Ahmedabad city
Prediction of air pollution index may help in traffic routing and identifying serious pollutants.
Modeling of the complex relationships between these variables by sophisticated methods in …
Modeling of the complex relationships between these variables by sophisticated methods in …
[HTML][HTML] Utilising machine learning for corporate social responsibility (CSR) and environmental, social, and governance (ESG) evaluation: Transitioning from …
Transparency and accountability are critical components of corporate sustainability. This
study uses machine learning and empirical analysis to examine the influence of corporate …
study uses machine learning and empirical analysis to examine the influence of corporate …
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Hydrothermal carbonization (HTC) is a process that converts biomass into versatile
hydrochar without the need for prior drying. The physicochemical properties of hydrochar …
hydrochar without the need for prior drying. The physicochemical properties of hydrochar …
A comparative analysis of linear regression, neural networks and random forest regression for predicting air ozone employing soft sensor models
Z Zhou, C Qiu, Y Zhang - Scientific Reports, 2023 - nature.com
The proposed methodology presents a comprehensive analysis of soft sensor modeling
techniques for air ozone prediction. We compare the performance of three different modeling …
techniques for air ozone prediction. We compare the performance of three different modeling …
Development and application of random forest regression soft sensor model for treating domestic wastewater in a sequencing batch reactor
Q Cheng, Z Chunhong, L Qianglin - Scientific reports, 2023 - nature.com
Small-scale distributed water treatment equipment such as sequencing batch reactor (SBR)
is widely used in the field of rural domestic sewage treatment because of its advantages of …
is widely used in the field of rural domestic sewage treatment because of its advantages of …
Machine learning-based optimization of catalytic hydrodeoxygenation of biomass pyrolysis oil
Bio-oil derived from biomass pyrolysis contains various oxygenated compounds,
compromising its quality. Catalytic hydrodeoxygenation (HDO) holds promise for upgrading …
compromising its quality. Catalytic hydrodeoxygenation (HDO) holds promise for upgrading …
Machine learning optimization of operating parameters to achieve high power density and efficiency of polymer electrolyte membrane fuel cell
The performance of PEMFCs is significantly influenced by operating conditions, including
temperature, pressure, and flow rates. To optimize the complicated nonlinearity of …
temperature, pressure, and flow rates. To optimize the complicated nonlinearity of …
[HTML][HTML] Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a …
Aviation is a major contributor to transportation carbon emissions but aims to reduce its
carbon footprint. Sustainable and environmentally friendly green hydrogen fuel is essential …
carbon footprint. Sustainable and environmentally friendly green hydrogen fuel is essential …
[HTML][HTML] Improving water quality index prediction using regression learning models
Rivers are the main sources of freshwater supply for the world population. However, many
economic activities contribute to river water pollution. River water quality can be monitored …
economic activities contribute to river water pollution. River water quality can be monitored …