AI Medical Compendium Journal:
Journal of environmental management

Showing 61 to 70 of 344 articles

Managerial myopia and its barrier to green innovation in high-pollution enterprises: A machine learning approach.

Journal of environmental management
Green technology innovation has become a vital remedy in response to the world's growing ecological problems and the urgent need for sustainable development. However, businesses are sometimes discouraged from undertaking such efforts due to the signi...

Identifying the combined impact of human activities and natural factors on China's avian species richness using interpretable machine learning methods.

Journal of environmental management
With human activities-derived escalating climate change and rapid urbanization, avian species face significant survival challenges. Understanding the impact of human activities and environmental drivers on avian species richness is critical for effec...

Deep learning-driven behavioral analysis reveals adaptive responses in Drosophila offspring after long-term parental microplastic exposure.

Journal of environmental management
Microplastics are widely distributed in the environment and pose potential hazards to organisms. However, our understanding of the transgenerational effects of microplastics on terrestrial organisms remains limited. In this study, we focused on the m...

Carbon source dosage intelligent determination using a multi-feature sensitive back propagation neural network model.

Journal of environmental management
The carbon reduction concept drives the development of low-carbon and sustainable wastewater treatment plant (WWTP) operation technologies. In the denitrification stage of WWTPs in China, there are widespread problems of uneconomical dosage consumpti...

Selective gas adsorption using graphitic carbon nitride: Exploring the role of molecular descriptors by artificial intelligence frameworks.

Journal of environmental management
Artificial Intelligence (AI) frameworks estimate the adsorption energies of crucial pollutants like CO, O, NO, NO, SOF, HCHO, and CO on Graphitic Carbon Nitride (g-CN) surfaces. The predictive capabilities of two AI-based models, namely, Artificial N...

The impact of artificial intelligence on corporate green innovation: Can "increasing quantity" and "improving quality" go hand in hand?

Journal of environmental management
In the current era of digitalization and greenization, it is of great importance to explore how enterprises utilize artificial intelligence (AI) to promote green innovation. This paper explores the green innovation effects of AI and its underlying me...

Combining deep learning and machine learning techniques to track air pollution in relation to vegetation cover utilizing remotely sensed data.

Journal of environmental management
The rapid urban expansion in Dhaka, the capital of Bangladesh, has escalated air pollution levels and led to a significant decrease in green spaces. This study employed machine learning (ML) and deep learning (DL) techniques to examine the relationsh...

Green entrepreneurial leadership and AI-driven green process innovation: Advancing environmental sustainability in the Traditional Chinese Medicine industry.

Journal of environmental management
Despite much focus has been given on the relationship between leadership, innovation and firm performance, the impact of green entrepreneurial leadership (GEL) and Artificial Intelligence - driven green process innovation (AI-driven GPI) on firm perf...

Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management.

Journal of environmental management
The increasing impacts of climate change on global agriculture necessitate the development of advanced predictive models for efficient water management in crop fields. This study aims to enhance the forecasting of evapotranspiration (ET), potential e...

Assessing the impact of rainfall, topography, and human disturbances on nutrient levels using integrated machine learning and GAMs models in the Choctawhatchee River Watershed.

Journal of environmental management
Nutrient pollution caused by excessive total nitrogen (TN) and total phosphorus (TP) is a significant environmental challenge globally, threatening water quality and ecosystem health. This study investigates the interplay between rainfall, topography...