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Theoretical Prediction of the Bending Stiffness of Reinforced Thermoplastic Pipes Using a Homogenization Method
The accurate prediction of bending stiffness is important to analyze the buckling and vibration behavior of reinforced thermoplastic pipes (RTPs) in...
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A hybrid prediction framework combining deep neural network and modified optimization algorithm for water vapor prediction
As a global issue, water shortage has attracted much attention from the society. Artificial rain enhancement (ARE) is an effective way to exploit...
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Tunnelling performance prediction of cantilever boring machine in sedimentary hard-rock tunnel using deep belief network
Evaluating the adaptability of cantilever boring machine (CBM) through in-depth excavation and analysis of tunnel excavation data and rock mass...
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Trend prediction model of online public opinion in emergencies based on fluctuation analysis
Prior research has ignored the influence of fluctuation factors on online public opinion in emergencies, which has led to low prediction accuracy....
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Prediction of the Median Fragmentation of Bench Blasting in Layered Rock Mass Based on Discrete Fracture Network
It is very important to predict the blasting fragmentation size of fractured rock mass. Based on the geological conditions of practical engineering...
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Seamless Prediction in China: A Review
Seamless prediction is a weather–climate integrated prediction covering multiple time scales that include days, weeks, months, seasons, years, and...
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Seismic Reservoir Prediction Technology
In recent years, reservoir prediction has evolved into a new discipline, integrating physics, mathematics, computer technology, and rock physics....
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A multi-model prediction system for ENSO
The El Niño and Southern Oscillation (ENSO) is the primary source of predictability for seasonal climate prediction. To improve the ENSO prediction...
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Further study on oil/water relative permeability ratio model and waterflooding performance prediction model for high water cut oilfields sustainable development
The accuracy of predicting waterflooding performance is crucial in determining the scale of investment for oilfield development. However, existing...
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High Precision Pre-drilling Pressure Prediction for Complex Cause’s Overpressure
High precision pre-drilling pressure prediction is one of the key technologies in the integration of seismic-geology-engineering. The accurate...
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A New Prediction Model for Cutting Depth of Hard Rock Using High-Pressure Water Jets
High-pressure pure water jet has been widely used in breaking soft rocks and medium–hard rocks, but its research on cutting hard rocks is very...
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A theoretical relationship between probabilistic relative operating characteristic skill and deterministic correlation skill in dynamical seasonal climate prediction
Understanding the relationship between probabilistic and deterministic prediction skills is of important significance for the study of seasonal...
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PID4LaTe: a physics-informed deep learning model for lake multi-depth temperature prediction
Lake temperature plays a pivotal role in the physical and chemical processes in the water. It has a significant impact on the distribution of lake...
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A review of tunnel rockburst prediction methods based on static and dynamic indicators
Rockbursts frequently occur in tunneling projects and pose a serious threat to workers and the environment. Therefore, accurate prediction of...
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Artificial Intelligence and Its Application in Numerical Weather Prediction
AbstractArtificial intelligence is one of the most popular, frequently discussed, and, meanwhile, ambiguous and controversial metaphorical concepts,...
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Study on construction deformation prediction and disaster warning of karst slopes based on grey theory
The layout of deformation monitoring points on karst slopes is affected by the thickness of karst overburden soil, dissolution and fragmentation...
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BPNN Based Multi-factor Synthesis Prediction Method for Coal Rock Fatigue Life
The fatigue characteristics and failure mechanisms of rocks under cyclic loading not only have important theoretical significance, but are also...
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Short-Term Prediction of Groundwater Level Based on Spatiotemporal Correlation
AbstractGroundwater is an important component of water resources. Excessive exploitation can lead to water scarcity, while excessive groundwater can...
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Empirical prediction of hydraulic aperture of 2D rough fractures: a systematic numerical study
This study aims to propose an empirical prediction model of hydraulic aperture of 2D rough fractures through numerical simulations by considering the...
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Quantitative Analysis of Prediction Indicators for Coal and Gas Outburst Risk
This study assesses the risk of coal and gas outburst using the theory of rock engineering system, selects seven prediction indices that are...
