Smart Hydraulics
IoT & AI
Apps | IA | IoT | Deep Learning | Data Science
Facultad Tecnológica
Ingeniería Civil
Ing. Edgar O. Ladino M., MSc, Ph.D
Investigador Junior (IJ) | Minciencias
CvLAC | Web of Science | Google Scholar | Orcid | ResearchGate | Mendeley | SciELO | Linkedin
Bogotá D. C. | Colombia
Controles estadísticos
Desarrollos IoT | Ingeniería Civil |
Hidráulica | Inteligencia artificial
Inteligencia artificial aplicada al estudio del comportamiento del fluido sometido a presión y flujo libre: Classification Algorithms: Naive Bayes, Decision Tree, Random Forest, Support Vector Machines, Nearest Neighbours, Regression Algorithms: Linear regression, Lasso Regression, Logistic Regression, Multivariate Regression, Multiple Regression Algorithm. Clustering Algorithms: K-Means Clustering, Fuzzy C-means Algorithm, Expectation-Maximisation, Hierarchical Clustering Algorithm, Neural Networks, Fuzzy Logic: Fuzzy Mail List, Fuzzy Logic, Genetic Algorithms and Evolutionary Computing, Genetic Algorithm Utility Library (GAUL), Belief Networks (Bayesian), Learning Bayesian Networks from Data.