AIMC Journal:
International journal of environmental research and public health

Showing 461 to 470 of 494 articles

Priorization of River Restoration by Coupling Soil and Water Assessment Tool (SWAT) and Support Vector Machine (SVM) Models in the Taizi River Basin, Northern China.

International journal of environmental research and public health Sep 23, 2018
Identifying priority zones for river restoration is important for biodiversity conservation and catchment management. However, limited data due to the difficulty of field collection has led to research to better understand the ecological status withi...
Soil Animals Biodiversity Seasons Rivers Hydrology Support Vector Machine Environmental Restoration and Remediation Aquatic Organisms China Environmental Monitoring
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Algal Bloom Prediction Using Extreme Learning Machine Models at Artificial Weirs in the Nakdong River, Korea.

International journal of environmental research and public health Sep 21, 2018
In this study, we design an intelligent model to predict chlorophyll-a concentration, which is the primary indicator of algal blooms, using extreme learning machine (ELM) models. Modeling algal blooms is important for environmental management and eco...
Harmful Algal Bloom Chlorophyll Republic of Korea Environmental Monitoring Rivers Neural Networks, Computer Machine Learning
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Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-carbon Technology Schemes in Star Hotels.

International journal of environmental research and public health Sep 19, 2018
Energy-saving and low-carbon technologies play important roles in reducing environmental risk and developing green tourism. An energy-saving and low-carbon technology scheme selection may often involve multiple criteria and sub-criteria as well as mu...
Technology Decision Making Industry Conservation of Energy Resources Leisure Activities Consensus Fuzzy Logic
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Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll , Diatoms, Green Algae and Turbidity.

International journal of environmental research and public health Aug 30, 2018
Inland waters are of great importance for scientists as well as authorities since they are essential ecosystems and well known for their biodiversity. When monitoring their respective water quality, in situ measurements of water quality parameters ar...
Water Quality Spectrum Analysis Germany Machine Learning Ecosystem Environmental Monitoring Humic Substances Diatoms Chlorophyll Chlorophyll A
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Predicting Infectious Disease Using Deep Learning and Big Data.

International journal of environmental research and public health Jul 27, 2018
Infectious disease occurs when a person is infected by a pathogen from another person or an animal. It is a problem that causes harm at both individual and macro scales. The Korea Center for Disease Control (KCDC) operates a surveillance system to mi...
Algorithms Forecasting Communicable Diseases Republic of Korea Deep Learning Models, Theoretical Humans
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The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents' Exposure to Urban Greenness.

International journal of environmental research and public health Jul 25, 2018
Many studies have established that urban greenness is associated with better health outcomes. Yet most studies assess urban greenness with overhead-view measures, such as park area or tree count, which often differs from the amount of greenness perce...
Housing Viridiplantae Health Behavior Hong Kong Surveys and Questionnaires Interviews as Topic Urban Population Residence Characteristics Male Environment Design Deep Learning Walking Qualitative Research Humans Female Adult
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The Effects of Hydration Status on Cognitive Performances among Young Adults in Hebei, China: A Randomized Controlled Trial (RCT).

International journal of environmental research and public health Jul 12, 2018
: Dehydration may affect cognitive performances as water accounts for 75% of brain mass. The purpose of this study is to investigate the effects of dehydration and water supplementation on cognitive performances, and to explore the changes of brain s...
Osmolar Concentration Adolescent Young Adult Double-Blind Method Fasting Humans Adult Dehydration Cognition Water China Magnetic Resonance Imaging Brain Randomized Controlled Trials as Topic
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Comparison of Machine Learning Models for Hazardous Gas Dispersion Prediction in Field Cases.

International journal of environmental research and public health Jul 10, 2018
Dispersion prediction plays a significant role in the management and emergency response to hazardous gas emissions and accidental leaks. Compared with conventional atmospheric dispersion models, machine leaning (ML) models have both high accuracy and...
Models, Theoretical Support Vector Machine Gases Normal Distribution Hazardous Substances Chemical Hazard Release Machine Learning
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Four Major South Korea's Rivers Using Deep Learning Models.

International journal of environmental research and public health Jun 24, 2018
Harmful algal blooms are an annual phenomenon that cause environmental damage, economic losses, and disease outbreaks. A fundamental solution to this problem is still lacking, thus, the best option for counteracting the effects of algal blooms is to ...
Rivers Republic of Korea Harmful Algal Bloom Deep Learning Models, Biological Water Quality
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A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition.

International journal of environmental research and public health May 21, 2018
Daily land surface temperature (LST) forecasting is of great significance for application in climate-related, agricultural, eco-environmental, or industrial studies. Hybrid data-driven prediction models using Ensemble Empirical Mode Composition (EEMD...
Neural Networks, Computer Algorithms Models, Theoretical Forecasting Temperature China
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