Academic Article in Scopus RDF
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- Predicting the retention time of microparticles in electrokinetic migration
- Predicting transport mode choice preferences in a university district with decision tree-based models
- Prediction and optimization of sustainable fuel cells behavior using artificial intelligence algorithms
- Prediction interval adjustment for load-forecasting using machine learning
- Prediction Learning Model for Soccer Matches Outcomes
- Prediction methods and experimental techniques for chatter avoidance in turning systems: A review
- Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model
- Prediction of electricity demand in weakly interconnected power systems using an ensemble time series model with a Bayesian Optimization approach
- Prediction of incident hypertension and arterial stiffness using the non¿insulin-based metabolic score for insulin resistance (METS-IR) index
- Prediction of Inconel 718 roughness with acoustic emission using convolutional neural network based regression
- Prediction of Insulin Resistance Based on Anthropometric and Clinical Variables in Children with Overweight or Obesity at a Tertiary Center in Northeast Mexico
- Prediction of MCI to AD risk of conversion survival models: QMRI vs CSF measures and cognitive assessments
- Prediction of Residual Stresses in Injection-Molded Plates Using the Residual Temperature Field Concept
- Prediction of Sunlight- and Salinity-Driven Inactivation Kinetics of Microbial Indicators with Validation in a 3D Water Quality Model
- Prediction of the antioxidant capacity of maize (Zea mays) hybrids using mass fingerprinting and data mining
- Prediction of the Influence of Higher Modes on the Dynamic Response of High-Rise Buildings Subjected to Narrow-Banded Ground Motions
- Prediction of Vertical Vibrations of a CNC Router Type Geometry
- Prediction of viscoelastic and printability properties on binder-free TiO2-based ceramic pastes by DIW through a machine learning approach
- Predictive analytics study to determine undergraduate students at risk of dropout
- Predictive biophysical neural network modeling of a compendium of in vivo transcription factor DNA binding profiles for Escherichia coli
- Predictive Control of a Closed Grinding Circuit System in Cement Industry
- Predictive Modeling of Soft Stretchable Nanocomposites Using Recurrent Neural Networks
- Predictive Models for Early Detection of Engineering Students at Risk of a Course Failure
- Predictive models to enhance learning based on student profiles derived from cognitive and social constructs
- Predictors of mechanical ventilation in Guillain-Barré syndrome with axonal subtypes
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