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Vibrotactile Sensation: A Systematic Review of the Artificial Pacinian Corpuscle
Pacinian corpuscle is a tactile receptor that responds to high-frequency (20–1000 Hz) vibration and has high-pass filtering and mechanical signal...
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Design and Evaluation of Simple Artificial Vascular Graft Bioreactor System
Cardiovascular diseases (CDs) are among the leading causes of death, especially in areas with limited medical resources. Due to the increasing...
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Investigation of flow characteristics and eddy viscosity ratio for air-oil intermittent flow in horizontal pipe
Experiments and three-dimensional numerical computations are performed to investigate the air-oil intermittent two-phase flow in a horizontal pipe...
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Laboratory Simulation of RAP Incorporated Mix in a Cold Region: An Artificial Intelligence-Based Approach
The use of reclaimed asphalt pavement (RAP) in road construction is expected to lead to a sustainable asphalt pavement system by reducing the...
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Biomimetic cell-actuated artificial muscle with nanofibrous bundles
Biohybrid artificial muscle produced by integrating living muscle cells and their scaffolds with free movement in vivo is promising for advanced...
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Viscosity and thermal conductivity correlations for various nanofluids based on different temperature and nanoparticle diameter
Nanofluids properties such as viscosity, thermal conductivity, specific heat and density are needed to analyze the coefficients of convective heat...
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Generalization enhancement of artificial neural network for turbulence closure by feature selection
Feature selection targets for selecting relevant and useful features, and is a vital challenge in turbulence modeling by machine learning methods. In...
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Development of a CFD Based Artificial Neural Network Metamodel for the Design of Micromixer
Microfluidics has enabled researchers to explore the physics of fluid in the regions of micro in size. Use of Machine Learning techniques in...
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Graphic Approach to Energy Optimization through Artificial Intelligence
Technologies for process efficiency in various industries will be essential in the next few decades due to strong global cost pressures and quality...
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Membrane Processes in Artificial Organs
In Artificial Organs, different, life-saving organ-specific requirements must be realised. Artificial Kidney involves the removal of water-soluble...
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Artificial Neural Network Modeling Small-Scale Turbulence of Isotropic Turbulent Flows
Small-scale fluid motions play an important role in the relative dispersion and clustering of inertial particles in turbulent flows. In this paper,...
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Study on Artificial Methods of Sandbar Flushing Against Blockages at the Mouth of a Floodway
Blockages at the mouth of floodways due to a sandbar need to be flushed away to have a proper function of a floodway. This study examined the methods...
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Flexural strength prediction of randomly oriented chopped glass fiber composite laminate using artificial neural network
Randomly oriented chopped glass fiber reinforced polymer (ROCGFRP) composite laminate exhibits better flexural behavior, intended to use in various...
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Studies of Repression-Wave Colmatation of Artificial Rock Samples
AbstractBased on the results of experimental observations, mathematical models of the impact of the factors under study on repression-wave...
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Experimental Study on Scouring and Silting Deformation of Artificial Beach Under Storm Surge—Wave Coupling
With the increasing construction of artificial beach in coastal areas, it is of practical significance to study the beach surface deformation of...
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A SPH method of high accuracy and efficiency for low and medium Reynolds number flow problems
The FPM, as a variant form of SPH, uses a set of auxiliary kernels for consistent interpolations of the basic unknown function and its spatial...
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Develo** a mathematical model and an optimal artificial neural network to predict the thermal conductivity of zirconium oxide nanolubricant by comparing experimental and numerical data
Nanofluids have found their novel application in all walks of technological research pertaining to improvement of thermal characteristics of...
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Smart learning strategy for predicting viscoelastic surfactant (VES) viscosity in oil well matrix acidizing process using a rigorous mathematical approach
AbstractThis piece of study attempts to accurately anticipate the apparent viscosity of the viscoelastic surfactant (VES) based self-diverting acids...
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Characterization of New Biofluid Lubrication Formulation Using Castor Oil with Hyaluronic Acid Additive for Artificial Joints
This study focused on the properties of biofluid, a new formulation proposed to generate synthetic synovial fluid using Castor Oil, and three various...
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Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence
Prediction of indoor airflow distribution often relies on high-fidelity, computationally intensive computational fluid dynamics (CFD) simulations....