AIMC Topic: Temperature
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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...
Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water.
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Apr 22, 2018
Today, due to the increase in the population, the growth of industry and the variety of chemical compounds, the quality of drinking water has decreased. Five important river water quality properties such as: dissolved oxygen (DO), total dissolved sol...
Use of artificial neuronal networks for prediction of the control parameters in the process of anaerobic digestion with thermal pretreatment.
Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Apr 19, 2018
This article focuses on the analysis of the behavior patterns of the variables involved in the anaerobic digestion process. The objective is to predict the impact factor and the behavior pattern of the variables, i.e., temperature, pH, volatile solid...
Medical Mechatronics for Healthcare.
Journal of healthcare engineering
Apr 18, 2018
Development and application of artificial neural network models to estimate values of a complex human thermal comfort index associated with urban heat and cool island patterns using air temperature data from a standard meteorological station.
International journal of biometeorology
Apr 11, 2018
The present study deals with the development and application of artificial neural network models (ANNs) to estimate the values of a complex human thermal comfort-discomfort index associated with urban heat and cool island conditions inside various ur...
Land surface temperature estimating in urbanized landscapes using artificial neural networks.
Environmental monitoring and assessment
Mar 26, 2018
Scenario-based land surface temperature (LST) modeling is a powerful tool for adopting proper urban land use planning policies. In this study, using greater Isfahan as a case study, the artificial neural network (ANN) algorithm was utilized to explor...
A modified artificial neural network based prediction technique for tropospheric radio refractivity.
PloS one
Mar 1, 2018
Radio refractivity plays a significant role in the development and design of radio systems for attaining the best level of performance. Refractivity in the troposphere is one of the features affecting electromagnetic waves, and hence the communicatio...
Prediction of soil urea conversion and quantification of the importance degrees of influencing factors through a new combinatorial model based on cluster method and artificial neural network.
Chemosphere
Feb 6, 2018
Quantitative prediction of soil urea conversion is crucial in determining the mechanism of nitrogen transformation and understanding the dynamics of soil nutrients. This study aimed to establish a combinatorial prediction model (MCA-F-ANN) for soil u...
Dew point temperature affects ascospore release of allergenic genus Leptosphaeria.
International journal of biometeorology
Jan 27, 2018
The genus Leptosphaeria contains numerous fungi that cause the symptoms of asthma and also parasitize wild and crop plants. In search of a robust and universal forecast model, the ascospore concentration in air was measured and weather data recorded ...
Assessing the impact of PM on respiratory disease using artificial neural networks.
Environmental pollution (Barking, Essex : 1987)
Jan 5, 2018
Understanding the impact on human health during peak episodes in air pollution is invaluable for policymakers. Particles less than PM can penetrate the respiratory system, causing cardiopulmonary and other systemic diseases. Statistical regression mo...
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