AIMC Topic:
Environmental Monitoring

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Comprehensive studies of hydrogeochemical processes and quality status of groundwater with tools of cluster, grouping analysis, and fuzzy set method using GIS platform: a case study of Dalcheon in Ulsan City, Korea.

Environmental science and pollution research international Mar 18, 2015
This research aimed at developing comprehensive assessments of physicochemical quality of groundwater for drinking and irrigation purposes at Dalcheon in Ulsan City, Korea. The mean concentration of major ions represented as follows: Ca (94.3 mg/L) >...
Chemical Phenomena Drinking Water Agricultural Irrigation Cluster Analysis Water Quality Mining Humans Republic of Korea Groundwater Environmental Monitoring Fuzzy Logic
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Autonomous surveillance for biosecurity.

Trends in biotechnology Mar 3, 2015
The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environmental costs. Conventional manual biosecurity surveillance methods are limited by their scalability ...
Crops, Agricultural Security Measures Environmental Monitoring Robotics
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Dynamic assessment of water quality based on a variable fuzzy pattern recognition model.

International journal of environmental research and public health Feb 16, 2015
Water quality assessment is an important foundation of water resource protection and is affected by many indicators. The dynamic and fuzzy changes of water quality lead to problems for proper assessment. This paper explores a method which is in accor...
Water Pollutants, Chemical Fuzzy Logic Water Quality Pattern Recognition, Automated Water China Models, Theoretical Environmental Monitoring
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Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata.

Environmental monitoring and assessment Feb 3, 2015
As one of the most vulnerable coasts in the continental USA, the Lower Mississippi River Basin (LMRB) region has endured numerous hazards over the past decades. The sustainability of this region has drawn great attention from the international, natio...
Mississippi Rivers Conservation of Natural Resources Wetlands Models, Theoretical Neural Networks, Computer Environmental Monitoring Agriculture
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Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques.

The Science of the total environment Jan 20, 2015
This study focuses on correlations between total number concentrations, road traffic emissions and noise levels in an urban area in the southwest of Spain during the winter and summer of 2009. The high temporal correlation between sound pressure leve...
Particulate Matter Noise Data Mining Environmental Monitoring Air Pollutants Fuzzy Logic Spain Air Pollution
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Predicting fecal sources in waters with diverse pollution loads using general and molecular host-specific indicators and applying machine learning methods.

Journal of environmental management Jan 10, 2015
In this study we use a machine learning software (Ichnaea) to generate predictive models for water samples with different concentrations of fecal contamination (point source, moderate and low). We applied several MST methods (host-specific Bacteroide...
Environmental Monitoring Water Pollution Water Microbiology Feces Bacteria Artificial Intelligence Software Coliphages Real-Time Polymerase Chain Reaction
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Predicting equilibrium vapour pressure isotope effects by using artificial neural networks or multi-linear regression - A quantitative structure property relationship approach.

Chemosphere Jan 3, 2015
We aim at predicting the effect of structure and isotopic substitutions on the equilibrium vapour pressure isotope effect of various organic compounds (alcohols, acids, alkanes, alkenes and aromatics) at intermediate temperatures. We attempt to explo...
Vapor Pressure Isotopes Linear Models Quantitative Structure-Activity Relationship Neural Networks, Computer Environmental Monitoring
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Comment on "Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring A. Najah & A. El-Shafie & O. A. Karim & Amr H. El-Shafie. Environ Sci Pollut Res (2014) 21:1658-1670".

Environmental science and pollution research international Nov 14, 2014
Neural Networks, Computer Oxygen Models, Chemical Water Pollution, Chemical Environmental Monitoring Water Pollutants, Chemical
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Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea.

The Science of the total environment Sep 19, 2014
Chlorophyll-a (Chl-a) is a direct indicator used to evaluate the ecological state of a waterbody, such as algal blooms that degrade the water quality in lakes, reservoirs and estuaries. In this study, artificial neural network (ANN) and support vecto...
Water Pollutants, Chemical Fresh Water Models, Chemical Chlorophyll Chlorophyll A Estuaries Artificial Intelligence Republic of Korea Environmental Monitoring Neural Networks, Computer Water Pollution, Chemical
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Environmental contamination, product contamination and workers exposure using a robotic system for antineoplastic drug preparation.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners Feb 23, 2014
Environmental contamination, product contamination and technicians exposure were measured following preparation of iv bags with cyclophosphamide using the robotic system CytoCare. Wipe samples were taken inside CytoCare, in the clean room environment...
Drug Compounding Cyclophosphamide Equipment Contamination Robotics Equipment Design Humans Air Pollutants, Occupational Risk Factors Drug Contamination Environment, Controlled Risk Assessment Gloves, Protective Occupational Exposure Antineoplastic Agents, Alkylating Environmental Monitoring Pharmacy Service, Hospital Infusions, Intravenous
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