AIMC Journal:
Journal of environmental management

Showing 301 to 310 of 344 articles

Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation.

Journal of environmental management Feb 5, 2021
Land subsidence (LS) in arid and semi-arid areas, such as Iran, is a significant threat to sustainable land management. The purpose of this study is to predict the LS distribution by generating land subsidence susceptibility models (LSSMs) for the Sh...
Bayes Theorem Iran ROC Curve Artificial Intelligence
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Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility.

Journal of environmental management Jan 28, 2021
The objective of this study is to assess the gully head-cut erosion susceptibility and identify gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area has been greatly influenced by several head-cut gullies due to ...
Iran Humans Conservation of Natural Resources Soil Deep Learning Machine Learning
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A novel optimized repeatedly random undersampling for selecting negative samples: A case study in an SVM-based forest fire susceptibility assessment.

Journal of environmental management Jul 2, 2020
The negative sample selection method is a key issue in studies of using machine learning approaches to spatially assess natural hazards. Recently, a Repeatedly Random Undersampling (RRU) was proposed to address the randomness problem faced in Single ...
Machine Learning Algorithms Support Vector Machine Wildfires China
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Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea.

Journal of environmental management Jun 5, 2020
The biochemical oxygen demand (BOD), one of widely utilized variables for water quality assessment, is metric for the ecological division in rivers. Since the traditional approach to predict BOD is time-consuming and inaccurate due to inconstancies i...
Water Quality Rivers Oxygen Biological Oxygen Demand Analysis Neural Networks, Computer Environmental Monitoring Republic of Korea
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Developing successful environmental decision support systems: Challenges and best practices.

Journal of environmental management Apr 29, 2020
Environmental decision support systems (EDSSs), or DSS applied in the environmental field, have been developed for over 40 years now. However, most of these tools fail to find use or fall out of use extremely quickly. In the aim of aiding in the conc...
Software Expert Systems Decision Making
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Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment.

Journal of environmental management Apr 20, 2020
Across the world, the flood magnitude is expected to increase as well as the damage caused by their occurrence. In this case, the prediction of areas which are highly susceptible to these phenomena becomes very important for the authorities. The pres...
ROC Curve Floods Romania Algorithms Neural Networks, Computer
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Sustainable feedstocks selection and renewable products allocation: A new hybrid adaptive utility-based consensus model.

Journal of environmental management Mar 20, 2020
Nowadays, preferred compromise response of renewable energies' demands regarding the candidate sustainable feedstocks is a crucial issue for market change management. Thus, selecting the most suitable sustainable feedstock is a key factor for optimum...
Uncertainty Consensus Fuzzy Logic Entropy Decision Making
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Cooperative Adaptive Cruise Control and exhaust emission evaluation under heterogeneous connected vehicle network environment in urban city.

Journal of environmental management Dec 14, 2019
With the development of information communication and artificial intelligence, the ICV (intelligent connected vehicle) will inevitably play an important part in future urban transport system. In this paper, we study the car following behaviour under ...
Cities Vehicle Emissions Artificial Intelligence
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Vulnerability Indexing to Saltwater Intrusion from Models at Two Levels using Artificial Intelligence Multiple Model (AIMM).

Journal of environmental management Dec 3, 2019
Unplanned groundwater exploitation in coastal aquifers results in water decline and consequently triggers saltwater intrusion (SWI). This study formulates a novel modeling strategy based on GALDIT method using Artificial Intelligence (AI) models for ...
Environmental Monitoring Lakes Artificial Intelligence Groundwater Data Interpretation, Statistical Fuzzy Logic
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Prediction of environmental effects in received signal strength in FM/TV station based on meteorological parameters using artificial neural network and data mining.

Journal of environmental management Sep 9, 2019
In this paper, meteorological parameters, electric field strength and transmitters' output power measured during six months in a TV/FM station. There are 13 frequencies in FM and UHF frequency bands in pilot broadcast station. The analysis of results...
Wind Environmental Monitoring Neural Networks, Computer Linear Models Data Mining Meteorology
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