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A Novel Hybrid Model Combining BPNN Neural Network and Ensemble Empirical Mode Decomposition
Neural network models have been successfully used to predict stock prices, weather, and traffic patterns. Due to the sensitivity of the data, it is...
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Data-knowledge-driven semi-empirical model augmentation method for nonlinear vortex-induced vibration
Vortex-induced vibration is a typical nonlinear fluid–structure interaction phenomenon. Significant challenges to high-precision prediction by the...
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Ising Model Simulation and Empirical Research of Barkhausen Noise
In this paper, Monte Carlo simulations are performed based on the two-dimensional Ising model with the objective of matching the simulated magnetic...
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Linearly combined transition model based on empirical spot growth correlations
The transition from laminar to turbulent flow in a hypersonic boundary layer is modeled using an intermittency-based linear combination approach. A...
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Development of a Dynamic Semi-empirical Model for Simulation of Copper Electrowinning Processes
Dynamic process models present an opportunity to investigate optimization and control strategies for the energy-intensive copper electrowinning...
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Assessment and Optimization of Dynamic Stall Semi-empirical Model for Pitching Aerofoils
Dynamic stall is a phenomenon affecting aerofoils in unsteady flows which is particularly relevant in the rotary-wing field. Semi-empirical models...
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Empirical Verification of the Control System Model of Profit Rate
This note aims to empirically verify the control system model of profit rate established by Park and Yang [4]. Specifically, it is shown that the...
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An empirical model for lateral flow in horizontally stratified flows
Lateral flow in microfluidic channels are of utmost importance. They are the main mechanism and/or challenge in many microfluidic applications....
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Thermal Conductivity of Loess: Experimental Studies and Empirical Model
Soil thermal conductivity is an important indicator for develo** and utilizing geothermal resources. In this study, the impact of underground...
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GAT-EGRU: A Deep Learning Prediction Model for PM2.5 Coupled with Empirical Modal Decomposition Algorithm
With the rapid development of the economy and industry and the improvement of pollution monitoring, how to accurately predict PM2.5 has become an...
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Centimeter-level-precision seafloor geodetic positioning model with self-structured empirical sound speed profile
In-field Sound Speed Profile (SSP) measurement is still indispensable for achieving centimeter-level-precision Global Navigation Satellite System...
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Semi-empirical model for abrasive particle velocity prediction in abrasive waterjet based on momentum transfer efficiency
Abrasive waterjet (AWJ) is a technology that removes a target material with an abrasive accelerated by ultra-high-pressure water. Recently, its...
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Prediction of Ground Vibration at Surface for Ring Blasting in Sublevel Sto** Through Empirical Approach, k-Nearest Neighbor, and Random Forest Model
The accurate prediction of blast-induced ground vibration due to underground ring blasting is a prominent need for ensuring the safety of structures....
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Optimizing longitudinal control model parameters of connected and automated vehicles using empirical trajectory data of human drivers in risky car-following scenarios
Connected and automated vehicles (CAVs) have great potential to improve driving safety. A basic performance evaluation criterion of CAVs is whether...
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An Empirical Model to Predict Chloride Penetrations in Concrete Containing Palm Oil Fuel Ash Based on 10-Year Exposure Under Marine Environment
The main objective of this study is to develop an empirical model for predicting the chloride penetration into concrete exposed to the sea water...
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An Empirical Model for Accurate Prediction of Yield Stress by Slump Flow Based on a Mini-cylindrical Mold
This paper combines theoretical and experimental analysis to conduct relevant research to improve the accuracy of predicting paste yield stress by...
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A semi-empirical impact force model of irregular rockfall on granular layer and its experimental validation
Rockfalls can pose a significant threat to traffic safety in mountainous areas. Galleries covered by a granular layer have proven effective in...
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Development of a semi-empirical bond strength model for multi-pass hot roll bonding based on the characterizations using the truncated-cone experiment
With special reference to the modelling of hot roll bonding, new experimental procedures to measure the resulting bond strength for a combination of...
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An empirical model for estimation of capillary rise from a shallow groundwater table in cropped soil
The present study investigates the performance of six pre-existing models to estimate the capillary rise from a shallow groundwater table using data...
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Empirical Model of Single Dielectric Barrier Discharge Plasma Actuator for Flow Control
An empirical thrust model of dielectric barrier discharge (DBD) plasma actuator with good prediction performance is proposed on the basis of many of...