AIMC Topic: Rivers

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High-Quality Development of Science and Technology Finance and Logistics Industry in the Yangtze River Economic Belt: Coupling Analysis Based on Deep Learning Model.

Computational intelligence and neuroscience Aug 21, 2022
Using the entropy method, the coupling coordination model, and the Tobit model, the coupling coordination degree of the high-quality development of science and technology finance and the logistics industry in the Yangtze River Economic Belt in China ...
Cities Deep Learning Industry Rivers China Technology
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Prediction and Estimation of River Velocity Based on GAN and Multifeature Fusion.

Computational intelligence and neuroscience Aug 21, 2022
The necessity of predicting and estimating river velocity motivates the development of a prediction method based on GAN image enhancement and multifeature fusion. In this method, in order to improve the image quality of river velocity, GAN network is...
Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Rivers
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Drought Assessment Based on Data Fusion and Deep Learning.

Computational intelligence and neuroscience Jul 31, 2022
Drought is a major factor affecting the sustainable development of society and the economy. Research on drought assessment is of great significance for formulating drought emergency policies and drought risk early warning and enhancing the ability to...
Meteorology Rivers Hydrology Droughts Deep Learning
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Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer).

Environmental monitoring and assessment Jul 29, 2022
The nonlinear groundwater level fluctuations depend on the interaction of many factors such as evapotranspiration, precipitation, groundwater abstraction, and hydrogeological characteristics, making groundwater level prediction a complex task. Ground...
Artificial Intelligence Groundwater Rivers Fuzzy Logic Iran Environmental Monitoring
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Short-Term Drift Prediction of Multi-Functional Buoys in Inland Rivers Based on Deep Learning.

Sensors (Basel, Switzerland) Jul 7, 2022
The multi-functional buoy is an important facility for assisting the navigation of inland waterway ships. Therefore, real-time tracking of its position is an essential process to ensure the safety of ship navigation. Aiming at the problem of the low ...
Rivers Deep Learning Ships China
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Multifunctional resilience of river health to human service demand in an alluvial quarried reach: a comparison amongst fuzzy logic, entropy, and AHP-based MCDM models.

Environmental science and pollution research international Jul 1, 2022
Riverine ecosystem services to human beings are dynamically evaluated by harmonic relationships; however, over growing human service demands (HSDs) are leading to deteriorate the river health resilience. In this study, an assessment index system of r...
Humans Reproducibility of Results Rivers Entropy Fuzzy Logic Ecosystem
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Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling.

Environmental science and pollution research international May 23, 2022
Machines learning models have recently been proposed for predicting rivers water temperature (T) using only air temperature (T). The proposed models relied on a nonlinear relationship between the T and T and they have proven to be robust modelling to...
Environmental Monitoring Support Vector Machine Water Rivers Least-Squares Analysis Temperature
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Two-Stream Retentive Long Short-Term Memory Network for Dense Action Anticipation.

Computational intelligence and neuroscience May 16, 2022
Analyzing and understanding human actions in long-range videos has promising applications, such as video surveillance, automatic driving, and efficient human-computer interaction. Most researches focus on short-range videos that predict a single acti...
Neural Networks, Computer Human Activities Rivers Humans
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Cloud-based neuro-fuzzy hydro-climatic model for water quality assessment under uncertainty and sensitivity.

Environmental science and pollution research international Apr 29, 2022
River water quality is a function of various bio-physicochemical parameters which can be aggregated for calculating the Water Quality Index (WQI). However, it is challenging to model the nonlinearity and uncertain behavior of these parameters. When d...
Cloud Computing Uncertainty Water Quality Fuzzy Logic Rivers Oxygen
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New double decomposition deep learning methods for river water level forecasting.

The Science of the total environment Mar 24, 2022
Forecasting river water levels or streamflow water levels (SWL) is vital to optimising the practical and sustainable use of available water resources. We propose a new deep learning hybrid model for SWL forecasting using convolutional neural networks...
Australia Water Rivers Forecasting Deep Learning Neural Networks, Computer
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