AIMC Journal:
Journal of environmental management

Showing 251 to 260 of 344 articles

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 ...
Humans Artificial Intelligence Environmental Health Robotics Augmented Reality Occupational Health
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An integrated modelling framework for multiple pollution source identification in surface water.

Journal of environmental management Sep 29, 2023
Pollution source identification is vital in water safety management. An integrated simulation-optimization modelling framework comprising a process-based hydrodynamic water quality model, artificial neural network surrogate model and particle swarm o...
Water Quality Rivers Algorithms Computer Simulation Neural Networks, Computer
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Forecasting actual evapotranspiration without climate data based on stacked integration of DNN and meta-heuristic models across China from 1958 to 2021.

Journal of environmental management Sep 7, 2023
As a non-linear phenomenon that varies along with agro-climatic conditions alongside many other factors, Evapotranspiration (ET) process represents a complexity when be assessed especially if there is a data scarcity in the weather data. However, eve...
China Random Forest Machine Learning Heuristics Neural Networks, Computer
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A multi-tier deterioration assessment models for sewer and stormwater pipelines in Hong Kong.

Journal of environmental management Sep 7, 2023
Sewerage and stormwater networks are subjected to several deterioration factors, including aging, environmental conditions, and traffic. Maintaining these critical assets in good condition is essential to avoid harmful consequences, such as environme...
Artificial Intelligence Environmental Pollution Neural Networks, Computer Government Hong Kong
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Application of classification machine learning algorithms for characterizing nutrient transport in a clay plain agricultural watershed.

Journal of environmental management Sep 6, 2023
Excess nutrients in surface water and groundwater can lead to water quality deterioration in available water resources. Thus, the classification of nutrient concentrations in water resources has gained significant attention during recent decades. Mac...
Clay Ontario Algorithms Machine Learning Nutrients Phosphorus
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Novel integrated modelling based on multiplicative long short-term memory (mLSTM) deep learning model and ensemble multi-criteria decision making (MCDM) models for mapping flood risk.

Journal of environmental management Aug 16, 2023
Flood risk assessment is a key step in flood management and mitigation, and flood risk maps provide a quantitative measure of flood risk. Therefore, integration of deep learning - an updated version of machine learning techniques - and multi-criteria...
Deep Learning Risk Assessment Floods Decision Making Neural Networks, Computer
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Machine learning methods for anomaly classification in wastewater treatment plants.

Journal of environmental management Jul 18, 2023
Modern wastewater treatment plants base their biological processes on advanced control systems which ensure compliance with discharge limits and minimize energy consumption responding to information from on-line probes. The correct readings of probes...
Neural Networks, Computer Ammonia Algorithms Water Purification Support Vector Machine Artificial Intelligence Machine Learning
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Dissolved organic matter evolution and straw decomposition rate characterization under different water and fertilizer conditions based on three-dimensional fluorescence spectrum and deep learning.

Journal of environmental management Jul 3, 2023
Straw returning is a sustainable way to utilize agricultural solid waste resources. However, incomplete decomposition of straw will cause harm to crop growth and soil quality. Currently, there is a lack of technology to timely monitor the rate of str...
Deep Learning Dissolved Organic Matter Spectrometry, Fluorescence Fertilizers Soil Agriculture
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Application of artificial intelligence-based methods in bioelectrochemical systems: Recent progress and future perspectives.

Journal of environmental management Jun 28, 2023
Bioelectrochemical Systems (BESs) leverage microbial metabolic processes to either produce electricity by degrading organic matter or consume electricity to assist metabolism, and can be used for various applications such as energy production, wastew...
Electricity Fuzzy Logic Neural Networks, Computer Humans Algorithms Artificial Intelligence
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AI explainability framework for environmental management research.

Journal of environmental management May 13, 2023
Deep learning networks powered by AI are essential predictive tools relying on image data availability and processing hardware advancements. However, little attention has been paid to explainable AI (XAI) in application fields, including environmenta...
Conservation of Natural Resources Deep Learning
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