Teena Idnani explains how to architect and build resilient event-driven distributed systems in a multi-cloud reality. Using a ...
Abstract: In this article, we explore two types of distributed quantum machine learning (DQML) methodologies: quantum federated learning and quantum model-parallel learning. We discuss the challenges ...
Objective To develop and compare algorithms for identifying gestational diabetes mellitus (GDM) across European electronic ...
Abstract: SimpleConvolution is the most important and time-consuming part of convolutional neural networks (CNN) for image processing. Each slide of the window in two-dimensional convolution will ...