AIMC Journal:
Journal of environmental management

Showing 271 to 280 of 344 articles

A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction.

Journal of environmental management Nov 23, 2022
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have been carried out in recent years. While majority of those models produce reasonably accurate flood predictions, the outcomes are subject to uncertainty since flo...
Neural Networks, Computer Machine Learning Algorithms Floods Uncertainty
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Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model.

Journal of environmental management Oct 12, 2022
The expansion of built-up area is the most noticeable form of urbanization-induced land use/land cover (LULC) change. In the global cities of south, the urban sprawl is increasing rapidly with even higher probabilities of future built-up expansion. T...
Quality of Life Cities Environmental Monitoring Fuzzy Logic Probability Conservation of Natural Resources Urbanization
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Modelling flood susceptibility based on deep learning coupling with ensemble learning models.

Journal of environmental management Oct 11, 2022
Modelling flood susceptibility is an indirect way to reduce the loss from flood disaster. Now, flood susceptibility modelling based on data driven model is state-of-the-art method such as ensemble learning and deep learning. However, the effect of de...
Deep Learning ROC Curve Forests Disasters Floods
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The Nature-Based Solutions Case-Based System: A hybrid expert system.

Journal of environmental management Oct 7, 2022
Deriving knowledge and learning from past experiences is essential for the successful adoption of Nature-Based Solutions (NBS) as novel integrative solutions that involve many uncertainties. Past experiences in implementing NBS have been collected in...
Neural Networks, Computer Expert Systems Conservation of Natural Resources
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Evaluation algorithm of coastal city ecological civilization development level based on improved BP neural network.

Journal of environmental management Aug 24, 2022
To accurately evaluate the development level of ecological civilization in coastal cities, this paper proposes an evaluation algorithm of coastal city ecological civilization development based on Improved BP neural network, constructs the evaluation ...
Neural Networks, Computer Ecosystem China Cities Conservation of Natural Resources Civilization
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Application of deep learning models to detect coastlines and shorelines.

Journal of environmental management Aug 3, 2022
Identifying and monitoring coastlines and shorelines play an important role in coastal erosion assessment around the world. The application of deep learning models was used in this study to detect coastlines and shorelines in Vietnam using high-resol...
Deep Learning Vietnam
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An insight into the act of iron to impede arsenic toxicity in paddy agro-system.

Journal of environmental management May 20, 2022
Surplus research on the widespread arsenic (As) revealed its disturbing role in obstructing the metabolic function of plants. Also, the predilection of As towards rice has been an interesting topic. Contrary to As, iron (Fe) is an essential micronutr...
Prospective Studies Soil Plant Roots Soil Pollutants Iron Arsenic Oryza
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Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques.

Journal of environmental management May 19, 2022
It is difficult to predict and model with an accurate model the floods, that are one of the most destructive risks across the earth's surface. The main objective of this research is to show the prediction power of three ensemble algorithms with respe...
Neural Networks, Computer Algorithms Geographic Information Systems Deep Learning Floods
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Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors.

Journal of environmental management Apr 29, 2022
Complex interrelationships between landscape-level geoenvironmental factors and natural phenomena have rendered land degradation control measures ineffective. For control to be effective, this study argues that the interactions between different geoe...
Machine Learning Retrospective Studies ROC Curve Bayes Theorem Altitude
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Improving neural network classification of indigenous forest in New Zealand with phenological features.

Journal of environmental management Apr 23, 2022
Accurate and up-to-date land cover maps inform and support effective management and policy decisions. Describing phenological changes in spectral response using time-series data may help to distinguish vegetation types, thereby allowing for more spec...
Neural Networks, Computer New Zealand Forests
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