Dimensional modelling is one of many data modelling techniques that are used by data practitioners to organize and present data for analytics. Other data modelling techniques include Data Vault (DV), ...

Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...

Abstract: In the development of safety- and security-relevant systems the V-model is established providing verification possibilities at each development stage. Usually, methods and tools of ...

With the announcement that Object Detection API is now compatible with Tensorflow 2, I tried to test the new models published in the TF2 model zoo, and train them with my custom data. However, I have ...