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Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems
Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods.
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO$_2$
In the present work, a novel and the robust computational investigation is carried out to estimate solubility of different acids in supercritical carbon dioxide.
Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
Emotion detection from the text is an important and challenging problem in text analytics.
Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression
Evaporation is one of the main processes in the hydrological cycle, and it is one of the most critical factors in agricultural, hydrological, and meteorological studies.
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