Abstract: Image processing using neural networks act as a tool to speed up predictions for users, specifically on large-scale image samples. To guarantee the clean data for training accuracy, various ...

Abstract: A new constant false-alarm rate (CFAR) detector for non-Rayleigh data, based on fuzzy statistical normalization, is proposed. The proposed detector carries out the detection with two stages.

This repository is for the active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. For your ...

Create a virtualenv. Samples are compatible with Python 3.6+. python3 -m venv env source env/bin/activate Install the dependencies needed to run the samples.

The multi energy system model of hybrid electric vehicles constructed in this article aims to accurately support the verification of energy management strategies. Firstly, the required power of the ...