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Effect of Process Parameters on Microstructures and Mechanical Properties of a Nano/ultrafine Grained Low Carbon Steel Produced by Martensite Treatment Using Plane Strain Compression
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Applying a modified model predictive current control method to improve surface-mounted permanent magnet synchronous motor drives performance in transient and steady-state operations
Applying a modified model predictive current control method to improve surface-mounted permanent magnet synchronous motor drives performance in transient and steady-state operations
Use of the time series and multi-temporal features of Sentinel-1/2 satellite imagery to predict soil inorganic and organic carbon in a low-relief area with a semi-arid environment
Use of the time series and multi-temporal features of Sentinel-1/2 satellite imagery to predict soil inorganic and organic carbon in a low-relief area with a semi-arid environment
Application of a Bayesian Artificial Neural Network and the Reversible Jump Markov Chain Monte Carlo Method to predict the grain size of hot strip low carbon steels
Three dimensional image analysis for prediction of vinyle tri-ethoxy silane concentration in methyl methacrylate/ethylene glycol dimethacrylate copolymers using scanning electron microscopy.
Response surface optimization of Barbari bread making process variables: Interrelationship of texture, image and organoleptic characteristics; using image analysis for quality and shelf life prediction
Real-time prediction of disc cutter wear in low-abrasive rocks: integrating physico-mechanical properties and signal processing features through machine learning methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
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Conference Papers
Conference Papers