AIMC Journal:
The Science of the total environment

Showing 161 to 170 of 226 articles

Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform.

The Science of the total environment Aug 14, 2021
Accurate forecasting of air pollutant concentration is of great importance since it is an essential part of the early warning system. However, it still remains a challenge due to the limited information of emission source and high uncertainties of th...
Wavelet Analysis Cluster Analysis Air Pollutants Forecasting Deep Learning
View on PubMed DOI

Predicting polycyclic aromatic hydrocarbons in surface water by a multiscale feature extraction-based deep learning approach.

The Science of the total environment Aug 5, 2021
Accurate and effective prediction of polycyclic aromatic hydrocarbons (PAHs) in surface water remains a substantial challenge due to the limited understanding of the dynamic processes. To assist integrated surface water management, a novel hybrid sur...
Deep Learning Water Quality Rivers Water Polycyclic Aromatic Hydrocarbons
View on PubMed DOI

The current and future uses of machine learning in ecosystem service research.

The Science of the total environment Jul 27, 2021
Machine learning (ML) expands traditional data analysis and presents a range of opportunities in ecosystem service (ES) research, offering rapid processing of 'big data' and enabling significant advances in data description and predictive modelling. ...
Ecosystem Big Data Machine Learning
View on PubMed DOI

Spatiotemporal modeling of land subsidence using a geographically weighted deep learning method based on PS-InSAR.

The Science of the total environment Jul 24, 2021
The demand for water resources during urbanization forces the continuous exploitation of groundwater, resulting in dramatic piezometric drawdown and inducing regional land subsidence (LS). This has greatly threatened sustainable development in the lo...
Radar Neural Networks, Computer Deep Learning Groundwater Beijing
View on PubMed DOI

Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach.

The Science of the total environment Jul 17, 2021
Zero-carbon is the current buzzword triggering the minds of every people in the world. The current pandemic situation has given the world an alarm to act towards the reduction/eradication of carbon footprint. Developing countries like India are striv...
Carbon Decision Making Bayes Theorem Carbon Footprint Humans Fuzzy Logic
View on PubMed DOI

Modeling the response of ecological service value to land use change through deep learning simulation in Lanzhou, China.

The Science of the total environment Jul 10, 2021
Land use (LU) changes caused by urbanization, climate, and anthropogenic activities alter the supply of ecosystem services (ES), which affects the ecological service value (ESV) of a given region. Existing LU simulation models extract neighborhood ef...
Deep Learning China Ecosystem Conservation of Natural Resources Urbanization
View on PubMed DOI

Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach.

The Science of the total environment Jul 8, 2021
Allergic diseases have been the epidemic of the century among chronic diseases. Particularly for pollen allergies, and in the context of climate change, as airborne pollen seasons have been shifting earlier and abundances have been becoming higher, p...
Humans Deep Learning Pollen Rhinitis, Allergic, Seasonal Seasons Environmental Monitoring Allergens
View on PubMed DOI

Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models.

The Science of the total environment Jun 19, 2021
Remote sensing techniques have been applied to monitor the spatiotemporal variation of harmful algal blooms (HABs) in many inland waters. However, these studies have been limited to monitor the vertical distribution of HABs due to the optical complex...
Harmful Algal Bloom Chlorophyll Chlorophyll A Phycocyanin Deep Learning Environmental Monitoring
View on PubMed DOI

Using machine learning to examine street green space types at a high spatial resolution: Application in Los Angeles County on socioeconomic disparities in exposure.

The Science of the total environment May 8, 2021
BACKGROUND: Compared to commonly-used green space indicators from downward-facing satellite imagery, street view-based green space may capture different types of green space and represent how environments are perceived and experienced by people on th...
Trees Residence Characteristics Machine Learning Los Angeles Parks, Recreational Humans Socioeconomic Factors Poaceae
View on PubMed DOI

Magnetic properties and its application in the prediction of potentially toxic elements in aquatic products by machine learning.

The Science of the total environment Apr 20, 2021
Magnetic measurement was provided to substitute for time-consuming conventional methods for determination of potentially toxic elements. Both the concentrations of 12 elements and 9 magnetic parameters were determined in 700 muscle tissue samples fro...
Humans Magnetic Phenomena Neural Networks, Computer Lakes Support Vector Machine Machine Learning Animals
View on PubMed DOI
Popular Topics
Popular Journals