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Iron Oxide
100%
Multi-walled Carbon Nanotubes (MWCNTs)
100%
Thermophysical Properties
100%
Hybrid Nanofluid
100%
Predictive Modeling
100%
AI Approaches
100%
Artificial Neural Network
75%
Multilayer Perceptron
75%
Thermal Conductivity
50%
Viscosity
50%
Water-based
50%
Magnetite Fe3O4
50%
Carbon Nanotube Hybrids
50%
Water Properties
25%
Sensitivity Analysis
25%
Correlation Coefficient
25%
Coefficient of Determination
25%
Root Mean Square Error
25%
Mean Absolute Percentage Error
25%
Experimental Testing
25%
X-ray
25%
Nanofluid
25%
Specific Heat
25%
Temperature Concentration
25%
Model Uncertainty
25%
Diffraction
25%
Stability Properties
25%
High Stability
25%
Vibrating Sample Magnetometer
25%
Testing Conditions
25%
Nash-Sutcliffe Efficiency
25%
Stability Value
25%
Mixture Concentration
25%
In Situ Growth
25%
Chemical Reduction
25%
Volume Loading
25%
Particle Volume
25%
Training Techniques
25%
Data Sensitivity
25%
Output Density
25%
Model Evaluation
25%
Scanning Electron Microscopy (SEM-EDS)
25%
Material Science
Carbon Nanotube
100%
Multilayer
100%
Thermophysical Property
100%
Thermal Conductivity
66%
Magnetite
66%
Density
33%
Scanning Electron Microscopy
33%
X-Ray Diffraction
33%
Magnetometer
33%
Chemical Engineering
Multilayer Neural Networks
100%
Carbon Nanotube
100%
Artificial Intelligence
100%
Neural Network
100%
Thermal Conductivity
66%
Specific Heat
33%
Scanning Electron Microscopy
33%
Chemistry
Multi Walled Nanotube
100%
Multilayer
75%
Thermal Conductivity
50%
Magnetite
50%
X-Ray Diffraction
25%
Scanning Electron Microscopy
25%
Chemical Reduction
25%