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Forecasting the energy intensity of industrial sector in China based on FCM-RS-SVM model.

Environmental science and pollution research international
Analysis of industrial energy intensity is greatly significant in China specifically from the perspective of sector heterogeneity due to considerably different levels of energy utilization in various industrial sub-sectors. This study proposes a new ...

As good as human experts in detecting plant roots in minirhizotron images but efficient and reproducible: the convolutional neural network "RootDetector".

Scientific reports
Plant roots influence many ecological and biogeochemical processes, such as carbon, water and nutrient cycling. Because of difficult accessibility, knowledge on plant root growth dynamics in field conditions, however, is fragmentary at best. Minirhiz...

The Application of Machine Learning: Controlling the Preparation of Environmental Materials and Carbon Neutrality.

International journal of environmental research and public health
The greenhouse effect is a severe global problem [...].

Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software.

International journal of environmental research and public health
Residential carbon emissions are one of the critical causes of climate problems such as global warming. It is significant to explore the development and evolution trend of residential carbon emissions research for mitigating global climate change. Ho...

Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities.

Journal of environmental management
Technological advancements have played a key role in improving energy efficiency and reducing emissions, and industrial robots are important carriers of intelligent manufacturing and industrial upgrading. Although various countries and regions are un...

Research on the potential for China to achieve carbon neutrality: A hybrid prediction model integrated with elman neural network and sparrow search algorithm.

Journal of environmental management
China's carbon reduction is of substantial significance in combating global climate change. In the context of the COVID-19 epidemic hit and economic and social development uncertainty, this study intends to discover whether China can attain the strat...

The Impact of SO Emissions Trading Scheme on Firm's Environmental Performance: A Channel from Robot Application.

International journal of environmental research and public health
Improving the environmental performance of enterprises is the key to achieving the goal of energy conservation, emission reduction and green development. This paper investigates the causal impact on the firm's environmental performance of China's SO ...

A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions.

Sensors (Basel, Switzerland)
Rapid urbanization across the world has led to an exponential increase in demand for utilities, electricity, gas and water. The building infrastructure sector is one of the largest global consumers of electricity and thereby one of the largest emitte...

Universal machine-learning algorithm for predicting adsorption performance of organic molecules based on limited data set: Importance of feature description.

The Science of the total environment
Adsorption of organic molecules from aqueous solution offers a simple and effective method for their removal. Recently, there have been several attempts to apply machine learning (ML) for this problem. To this end, polyparameter linear free energy re...

How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis.

Environmental science and pollution research international
As the global climate problem becomes increasingly serious, the green technology innovation to achieve "carbon peak and carbon neutral" has gradually become the global consensus of major countries, and how the rapid development of artificial intellig...