AIMC Topic: Rivers

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An Integrated Artificial Intelligence of Things Environment for River Flood Prevention.

Sensors (Basel, Switzerland) Dec 5, 2022
River floods are listed among the natural disasters that can directly influence different aspects of life, ranging from human lives, to economy, infrastructure, agriculture, etc. Organizations are investing heavily in research to find more efficient ...
Environment, Controlled Floods Artificial Intelligence Disasters Rivers Humans
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A two-step downscaling method for high-scale super-resolution of daily temperature - a case study of Wei River Basin, China.

Environmental science and pollution research international Dec 3, 2022
Climate data with high spatial and temporal resolution were of great significance for regional environmental management, such as for early response to possible predicted local climate changes and extreme weather. However, the current downscaling targ...
Neural Networks, Computer Rivers Climate Change China Temperature
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A parallel integrated learning technique of improved particle swarm optimization and BP neural network and its application.

Scientific reports Nov 11, 2022
Swarm intelligence algorithm has attracted a lot of interest since its development, which has been proven to be effective in many application areas. In this study, an enhanced integrated learning technique of improved particle swarm optimization and ...
Algorithms Cross-Sectional Studies Neural Networks, Computer Rivers Water Quality
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Evaluation of Empirical and Machine Learning Approaches for Estimating Monthly Reference Evapotranspiration with Limited Meteorological Data in the Jialing River Basin, China.

International journal of environmental research and public health Oct 12, 2022
The accurate estimation of reference evapotranspiration () is crucial for water resource management and crop water requirements. This study aims to develop an efficient and accurate model to estimate the monthly in the Jialing River Basin, China. Fo...
Water Rivers Wind Meteorology Machine Learning
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Imputation of missing monthly rainfall data using machine learning and spatial interpolation approaches in Thale Sap Songkhla River Basin, Thailand.

Environmental science and pollution research international Sep 29, 2022
Missing rainfall data has been a prevalent issue and primarily interested in hydrology and meteorology. This research aimed to examine the capability of machine learning (ML) and spatial interpolation (SI) methods to estimate missing monthly rainfall...
Rivers Rain Algorithms Environmental Monitoring Machine Learning Thailand
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Forest Environmental Carrying Capacity Based on Deep Learning.

Computational intelligence and neuroscience Sep 27, 2022
In this paper, we proposed an assessment system of forest environmental carrying capacity from many aspects and comprehensively evaluated and predicted the forest environmental carrying capacity of 40 cities in the Yangtze River Delta of China by usi...
Forests Conservation of Natural Resources Rivers Cities China Deep Learning
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Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network.

The Science of the total environment Sep 23, 2022
Data-driven models have been widely developed and achieved impressive results in streamflow prediction. However, the existing data-driven models mostly focus on the selection of input features and the adjustment of model structure, and less on the im...
Rivers Hydrology Reproducibility of Results Neural Networks, Computer Bayes Theorem Forecasting
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Green Financial Health Risk Early Monitoring of Commercial Banks Based on Neural Network Model in a Small Sample Environment.

Journal of environmental and public health Sep 22, 2022
Financial innovations emerge in an endless stream, and it is difficult for the regulatory measures and efforts of banks in various countries and the credit risk management level of commercial banks themselves to adapt to the increasingly complex risk...
Neural Networks, Computer Humans Rivers
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A Novel English Translation Model in Complex Environments Using Two-Stream Convolutional Neural Networks.

Journal of environmental and public health Sep 5, 2022
Although translation is an essential component of learning English, it does not receive the attention it merits in the modern English classroom. Teachers and students primarily emphasize listening, reading, and writing while neglecting the developmen...
Rivers China Neural Networks, Computer Humans Students
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MEEMD Decomposition-Prediction-Reconstruction Model of Precipitation Time Series.

Sensors (Basel, Switzerland) Aug 25, 2022
To address the problem of low prediction accuracy of precipitation time series data, an improved overall mean empirical modal decomposition-prediction-reconstruction model (MDPRM) is constructed in this paper. First, the non-stationary precipitation ...
Time Factors Rivers Support Vector Machine Neural Networks, Computer
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