A research-driven framework for architecture-based data flow analysis regarding information security properties like confidentiality. Given today's interconnection of systems of systems and the ...

Optical data center networks (ODCNs) are emerging as a promising solution to the increasing demands for bandwidth and efficiency in data centers. Traditional electrical switching methods face ...

This README provides a clear and concise overview of your Quantum Neural Network project using the Diabetes dataset, explaining the process from data preprocessing to model evaluation.

To this end, numerous creative ML-based approaches have been put forward in recent years. Nevertheless, the intelligent optimization of data center networks (DCN) still faces enormous challenges. To ...

We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. And we pore over customer reviews to find out what ...

On this basis, a two-dimensional data-driven convolutional neural network model (2DD-CNN) is proposed ... containing large numbers of missing values and outliers will result in low-quality forecasting ...

Arista Networks Inc engages in the development, marketing, and sale of data-driven, client to cloud networking solutions for data center, campus, and routing environments in the Americas ...