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Predicting Network Traffic using Radial-basis Function Neural Networks – Fractal Behavior I found a paper about Predicting Network Traffic using RBFNN. I wrote this back in December 2011 regarding Radial-basis Function Neural Networks (RBFNN). Currently, new trends in artificial intelligence are key and RBF-Kernels are in use by machine learning methods and systems. ” Fractal time series can be predicted
Big Data in RF Analysis Big Data provides tools and a framework to analyze data, in fact, large amounts of data. Radio Frequency, RF, provides amounts of information that depending n how it is modeled or created, its analysis fits many statistical models and is in general predicted using passive filtering techniques. The main tools for Big Data include statistical
BigData Presentation – Radio Frequency / Mobile CDS Intelligent Positioning of RF Cells for 4G/5G I was invited to FAU (Florida Atlantic University) to present at one of the MBA classes on “Big Data Analytics” and we went over the important concept and examples of MapReduce, Hadoop, Pandas, and sample on how Radio Frequency can be simulated and how Big
Continue readingBig Data Presentation and 4G/5G Intelligent Cell Positioning