Using artificial intelligence to support marine macrolitter research: a content analysis and an online database
DV Politikos, A Adamopoulou, G Petasis… - Ocean & Coastal …, 2023 - Elsevier
Marine scientists use a variety of collection and monitoring methods to survey macrolitter in
aquatic environments, aiming to assess the level of pollution and design mitigation actions …
aquatic environments, aiming to assess the level of pollution and design mitigation actions …
Machine learning for sustainable development: leveraging technology for a greener future
Purpose From a technological determinist perspective, machine learning (ML) may
significantly contribute towards sustainable development. The purpose of this study is to …
significantly contribute towards sustainable development. The purpose of this study is to …
Research on land resource management integrated with support vector machine—Based on the perspective of green innovation
T **, F Liang, X Dong, X Cao - Resources Policy, 2023 - Elsevier
Traditional methods of land resource management are no longer adequate to address the
rapidly changing environmental and societal demands. By introducing data-driven …
rapidly changing environmental and societal demands. By introducing data-driven …
The nonlinear relationship between air quality and housing prices by machine learning
W Zhang, S Pan, Z Li, Z Li, Z Dong - Environmental Science and Pollution …, 2023 - Springer
Using a dataset encompassing 228 cities in China spanning from 2005 to 2019, this study
explores the nonlinear relationship between air quality and housing prices and devises a …
explores the nonlinear relationship between air quality and housing prices and devises a …
[HTML][HTML] Integrating policy, data and technology in pursuing effective management of ecosystem services
MS de Moura, VC da Silva, AF Menezes… - Journal of …, 2024 - Elsevier
With the growing concerns about the protection of ecosystem functions and services,
governments have developed public policies and organizations have produced an …
governments have developed public policies and organizations have produced an …
Oil palm waste-derived adsorbents for the sequestration of selected polycyclic aromatic hydrocarbon in contaminated aqueous medium
Carbonaceous adsorbents were synthesized from palm kernel shell and palm mesocarp
fiber for the adsorption of phenanthrene (PHE) and the highly carcinogenic-benzo (a) …
fiber for the adsorption of phenanthrene (PHE) and the highly carcinogenic-benzo (a) …
Urban wastewater treatment for high yielding in agriculture through smart irrigation system
In the last century, connecting nodes to create smart things such as homes, working places,
and cities are essential to make life easier. The concept of smart campuses has been a hot …
and cities are essential to make life easier. The concept of smart campuses has been a hot …
Integrated prediction of water pollution and risk assessment of water system connectivity based on dynamic model average and model selection criteria
J Ruan, Y Cui, D Meng, J Wang, Y Song, Y Mao - Plos one, 2023 - journals.plos.org
In recent years, with the rapid development of economy and society, river water
environmental pollution incidents occur frequently, which seriously threaten the ecological …
environmental pollution incidents occur frequently, which seriously threaten the ecological …
Zinc/magnesium ferrite nanoparticles functionalized with silver for optimized photocatalytic removal of malachite green
Water pollution is a major environmental challenge. Due to the inefficiency of conventional
wastewater treatment plants in degrading many organic complex compounds, these …
wastewater treatment plants in degrading many organic complex compounds, these …
Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing
Water infrastructure integrity, quality, and distribution are fundamental for public health,
environmental sustainability, economic development, and climate change resilience …
environmental sustainability, economic development, and climate change resilience …