AIMC Topic: Environmental Monitoring

Clear Filters Showing 1041 to 1050 of 1335 articles

Analysis of noise pollution emitted by stationary MF285 tractor using different mixtures of biodiesel, bioethanol, and diesel through artificial intelligence.

Environmental science and pollution research international May 26, 2019
In the present study, the noise pollution from different compositions of biodiesel, bioethanol, and diesel fuels in a four-cylinder and four-stroke engine of MF285 tractor was studied. Further, the noise pollution was measured from two positions, the...
Gasoline Noise, Transportation Artificial Intelligence Noise Biofuels Environmental Monitoring
View on PubMed DOI

Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN).

Computational intelligence and neuroscience May 23, 2019
Due to the rapid development of economy and society around the world, the most urban city is experiencing tropospheric ozone or commonly known as ground-level air pollutants. The concentration of air pollutants must be identified as an early precauti...
Ozone Environmental Monitoring Neural Networks, Computer Air Pollutants Cities
View on PubMed DOI

Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods.

Environmental monitoring and assessment May 19, 2019
Rivers, as the most prominent component of water resources, have a key role to play in increasing the life expectancy of living creatures. The essential characteristics of water pollutants can be described by water quality indices (WQIs). Hence, a fe...
Neural Networks, Computer Machine Learning Environmental Monitoring Iran Water Quality Rivers Support Vector Machine Regression Analysis Water Pollutants Multivariate Analysis Biological Oxygen Demand Analysis
View on PubMed DOI

Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China.

Environmental science and pollution research international May 15, 2019
Water quality prediction is an effective method for managing and protecting water resources by providing an early warning against water quality deterioration. In general, the existing water quality prediction methods are based on a single shallow mod...
Rivers Forecasting Neural Networks, Computer China Environmental Monitoring Models, Theoretical Water Quality
View on PubMed DOI

Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions.

Environment international May 8, 2019
BACKGROUND: Accurate estimation of nitrogen dioxide (NO) and nitrogen oxide (NO) concentrations at high spatiotemporal resolutions is crucial for improving evaluation of their health effects, particularly with respect to short-term exposures and acut...
Models, Theoretical Environmental Monitoring Cluster Analysis Machine Learning California Nitrogen Oxides Nitrogen Dioxide Air Pollutants Air Pollution
View on PubMed DOI

Predicting the concentration of indoor culturable fungi using a kernel-based extreme learning machine (K-ELM).

International journal of environmental health research Apr 27, 2019
Indoor fungal is of great significance for human health. The kernel-based extreme learning machine is employed to determine the most important parameters for predicting the concentration of indoor culturable fungi (ICF). For model training and statis...
China Environmental Monitoring Housing Air Microbiology Fungi Neural Networks, Computer Machine Learning
View on PubMed DOI

Modelling the influence of environmental parameters over marine planktonic microbial communities using artificial neural networks.

The Science of the total environment Apr 26, 2019
Guanabara Bay is a tropical estuarine ecosystem that receives massive anthropogenic impacts from the metropolitan region of Rio de Janeiro. This ecosystem suffers from an ongoing eutrophication process that has been shown to promote the emergence of ...
Neural Networks, Computer Environmental Monitoring Models, Biological Brazil Bays Microbiota Plankton
View on PubMed DOI

Machine-learned modeling of PM exposures in rural Lao PDR.

The Science of the total environment Apr 18, 2019
This study presents a machine-learning-enhanced method of modeling PM personal exposures in a data-scarce, rural, solid fuel use context. Data collected during a cookstove (Africa Clean Energy (ACE)-1 solar-battery-powered stove) intervention program...
Laos Humans Environmental Exposure Cooking Machine Learning Air Pollution Particulate Matter Family Characteristics Rural Population Models, Statistical Environmental Monitoring Air Pollutants
View on PubMed DOI

Identifying floating plastic marine debris using a deep learning approach.

Environmental science and pollution research international Apr 18, 2019
Estimating the volume of macro-plastics which dot the world's oceans is one of the most pressing environmental concerns of our time. Prevailing methods for determining the amount of floating plastic debris, usually conducted manually, are time demand...
Oceans and Seas Plastics Waste Products Deep Learning Environmental Monitoring
View on PubMed DOI

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors.

PloS one Apr 11, 2019
The fragile ecological environment near mines provide advantageous conditions for the development of landslides. Mine landslide susceptibility mapping is of great importance for mine geo-environment control and restoration planning. In this paper, a ...
Neural Networks, Computer Support Vector Machine Landslides Geographic Information Systems Environmental Monitoring Risk Assessment
View on PubMed DOI
Popular Topics
Recent Journals