AI Medical Compendium Journal:
Journal of environmental management

Showing 21 to 30 of 344 articles

Climate investment and financing, economic growth target constraints and urban green development efficiency.

Journal of environmental management
Climate change constitutes a multidimensional crisis impacting global security and sustainable development, and immediate collective response is necessitated to address this challenge for all humankind. Guiding climate investment and financing (CIF) ...

Advancing harmful algal bloom predictions using chlorophyll-a as an Indicator: Combining deep learning and EnKF data assimilation method.

Journal of environmental management
The use of data driven deep learning models to predict and monitor Harmful Algal Blooms (HABs) has evolved over the years due to increasing technologies, availability of high frequency data, and statistical prowess. Despite the prowess of these data ...

A sustainable system for predicting appliance energy consumption based on machine learning.

Journal of environmental management
Nowadays, energy conservation is a top priority for sustainable societies, which focus on environmental and economic sustainability to address fossil fuel scarcity, climate change, and increasing environmental pollution. Therefore, planning for energ...

Assessing the impacts of cascade reservoirs on Pearl River environmental status using machine learning and satellite-derived chlorophyll-a concentrations.

Journal of environmental management
Rivers play a crucial role in in global matter cycling and energy flow, contributing significantly to biogeochemical cycles and the development of human civilization. Reservoirs, as prevalent artificial water bodies, modify river flow and impact ener...

Is the energy quota trading policy a solution to carbon inequality in China? Evidence from double machine learning.

Journal of environmental management
Implementing China's energy quota trading policy, as a typical market-based environmental regulation, thoroughly deepens the reform of energy market allocation. While the inhibitory effect of energy quota trading on carbon emissions is evident, its i...

Deep learning based abiotic crop stress assessment for precision agriculture: A comprehensive review.

Journal of environmental management
Abiotic stresses are a leading cause of crop loss and a severe peril to global food security. Precise and prompt identification of abiotic stresses in crops is crucial for effective mitigation strategies. In recent years, Deep learning (DL) technique...

Sustainable development with Artificial Intelligence: Examining the absorptive capacity pathways to green innovation.

Journal of environmental management
Artificial intelligence holds a lot of promise in tackling global societal challenges. However, there is still no consensus on how companies can effectively harness AI to promote green innovation (GI). We develop a moderated mediation model grounded ...

Spatiotemporal dynamics of cyanobacterial blooms: Integrating machine learning and feature selection techniques with uncrewed aircraft systems and autonomous surface vessel data.

Journal of environmental management
Cyanobacterial blooms pose significant threats to aquatic ecosystems and public health due to their ability to release harmful toxins, degrade water quality, disrupt aquatic habitats, and endanger human and animal health through contact or consumptio...

A novel deep learning-based floating garbage detection approach and its effectiveness evaluation in environmentally sustainable development.

Journal of environmental management
Floating garbage removal is an essential environmental strategy to reduce water pollution and achieve environmental sustainability, and it is a pressing issue for global ecological restoration. Under the interference of complex environments, floating...

Predicting and investigating water quality index by robust machine learning methods.

Journal of environmental management
This study addresses the critical challenges of waste management and water quality in urban environments, where accelerated urbanization has exacerbated environmental degradation and public health risks. Employing advanced machine learning algorithms...