AIMC Topic: Environmental Health
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Artificial intelligence: A key fulcrum for addressing complex environmental health issues.
Environment international
Mar 17, 2025
Environmental health (EH) is a complex and interdisciplinary field dedicated to the examination of environmental behaviours, toxicological effects, health risks, and strategies for mitigating harmful environmental factors. Traditional EH research inv...
Unlocking the potential of Eudrilus eugeniae in mitigating the pollution risk of pesticides and heavy metals: Fostering machine learning tactics to optimize environmental health.
The Science of the total environment
Mar 8, 2025
Agro-industrial waste management remains a critical challenge in sustainable development, particularly due to contamination with heterogeneous micropollutants such as heavy metals (HMs), pesticides, and polyphenols. This study explores an innovative ...
An integrated deep-learning model for smart waste classification.
Environmental monitoring and assessment
Feb 17, 2024
Efficient waste management is essential for human well-being and environmental health, as neglecting proper disposal practices can lead to financial losses and the depletion of natural resources. Given the rapid urbanization and population growth, de...
Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives.
Frontiers in public health
Feb 14, 2024
As population density increases, environmental hygiene and public health become increasingly severe. As the space where residents stay for the longest time and have the most profound impact on their physical and mental health, the quality of the envi...
Augmented reality-enabled human-robot collaboration to balance construction waste sorting efficiency and occupational safety and health.
Journal of environmental management
Oct 17, 2023
Construction waste sorting (CWS) is highly recommended as a key step for construction waste management. However, current CWS involves humans' manual hand-picking, which poses significant threats to their occupational safety and health (OSH). Robotic ...
Advances and applications of machine learning and deep learning in environmental ecology and health.
Environmental pollution (Barking, Essex : 1987)
Aug 9, 2023
Machine learning (ML) and deep learning (DL) possess excellent advantages in data analysis (e.g., feature extraction, clustering, classification, regression, image recognition and prediction) and risk assessment and management in environmental ecolog...
Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.
International journal of environmental research and public health
Aug 26, 2021
Harmonized language is critical for helping researchers to find data, collecting scientific data to facilitate comparison, and performing pooled and meta-analyses. Using standard terms to link data to knowledge systems facilitates knowledge-driven an...
A process mining approach in big data analysis and modeling decision making risks for measuring environmental health in institutions.
Environmental research
Jul 30, 2021
This paper aimed to introduce a process-mining framework for measuring the status of environmental health in institutions. The methodology developed a new software-based index namely Institutional Environmental Health Index (IEHI) that was integrated...
Into the Black Box: What Can Machine Learning Offer Environmental Health Research?
Environmental health perspectives
Feb 26, 2020
Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things.
International journal of environmental research and public health
Oct 11, 2019
The purpose of this descriptive research paper is to initiate discussions on the use of innovative technologies and their potential to support the research and development of pan-Canadian monitoring and surveillance activities associated with environ...
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