Academic Article RDF
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- Predicting the Performance Deterioration of a Three-Shaft Industrial Gas Turbine
- Predicting the performance of amorphous and crystalline silicon based photovoltaic solar thermal collectors
- Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
- Predicting the Viscosity of Petroleum Emulsions Using Gene Expression Programming (GEP) and Response Surface Methodology (RSM)
- Predicting the Young’s Modulus of Single-Walled Carbon Nanotubes using Finite Element Modeling
- Prediction and Measurement of Iron Loss in a Short-Stroke, Single-Phase, Tubular Permanent Magnet Machine
- Prediction Equation for Permeability of Class G Oilwell Cement Under Reservoir Conditions
- Prediction for CUI in Piping Systems using Fuzzy Logic with Sensitivity Analysis of Corrosion Producing Factors
- Prediction Model for the Performance of Different PV Modules Using Artificial Neural Networks
- Prediction models for flow resistance in flexible vegetated channels
- Prediction of Binary Adsorption Isotherms of Carbon Dioxide and Methane from Pure Adsorption Data
- Prediction of building damage induced by tunnelling through an optimized artificial neural network
- Prediction of carbon-dioxide activity coefficient for solubility in ionic liquids using multi-non-linear regression analysis.
- Prediction of CO<sub>2</sub> Solubility in Aqueous DEA and MDEA Binary Solutions Using O'Connell's Expression
- Prediction of CO2 Permeability in NH2-MIL-53(Al)/Cellulose Acetate Mixed matrix Membranes using Theoretical Models
- Prediction of CO2 gas permeability behavior of ionic liquid–polymer membranes (ILPM)
- Prediction of Contact Temperature on Interaction between Rail and Wheel Materials Using Pin-on-Disc Method
- Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
- Prediction of Dry-Low Emission Gas Turbine Operating Range from Emission Concentration Using Semi-Supervised Learning
- Prediction of dynamic responses of floating structures using NARX with mirroring technique
- Prediction of Earnings Manipulation on Malaysian Listed Firms: A Comparison between Linear and Tree-based Machine Learning
- Prediction of Electromagnetic Properties Using Artificial Neural Networks for Oil Recovery Factors
- Prediction of failure load of RC and R-ECC dapped-end beams
- Prediction of Fatigue Life in Cold Forging Punch Design for Fastener Using Integrated FEA and Stress Life Approach
- Prediction of gas transport across amine mixed matrix membranes with ideal morphologies based on the Maxwell model
- Prediction of heat exchanger fouling for predictive maintenance using artificial neural networks
- Prediction of Heating Values of Oil Palm Fronds from Ultimate Analysis
- Prediction of hydrocarbon depth for seabed logging (SBL) application using Gaussian process
- Prediction of Hydrocarbon Using Gaussian Process for Seabed Logging Application
- Prediction of industrial debutanizer column compositions using data-driven ANFIS- and ANN-based approaches