GitHub - RimbaudMeng/RF-Coverage-Optimization-using-Machine-Learning: • Data preprocessing and Data base management using MySQL. • Coverage Analysis using SVR (Support Vector Regression), ANN (Artificial Neural Network) with Keras, Tensor Flow and Outlier Detection through cluster-based approaches including K-Means clustering and DBSCAN • Network Health Estimation using Bayesian Kriging, Deep Learning and Graph Signal Processing by solving an optimization problem on graph using proximal splitting methods. • Developing a user-friendly GUI for the regularity authority for data visualization, analytics and store the results of the analysis

RimbaudMeng / RF-Coverage-Optimization-using-Machine-Learning Public

forked from anhassan/RF-Coverage-Optimization-using-Machine-Learning

Notifications You must be signed in to change notification settings
Fork 0
Star 0

• Data preprocessing and Data base management using MySQL. • Coverage Analysis using SVR (Support Vector Regression), ANN (Artificial Neural Network) with Keras, Tensor Flow and Outlier Detection through cluster-based approaches including K-Means clustering and DBSCAN • Network Health Estimation using Bayesian Kriging, Deep Learning and Graph Si…

0 stars 5 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
RF Project IEEE letter.pdf		RF Project IEEE letter.pdf
RF coverage project.py		RF coverage project.py
Research Paper.pdf		Research Paper.pdf