In today’s data-driven world, enterprises face numerous challenges in extracting insights from data for informed decision making. Traditional approaches often fall short when handling the complexity ...
AI technologies in crowd management have shown inconsistent effectiveness in preventing stampedes. Real-time monitoring systems can analyze crowd behavior but require better governance for public ...
In recent years, the turnover phenomenon of new college graduates has been intensifying. The turnover of new employees creates many difficulties for businesses as it is difficult to recover the costs ...
Abstract: The term Attrition refers to the voluntary or involuntary discontinuation of employees in an organization. This paper focuses on discussing a systematic flow for predicting Attrition using ...
This repository contains resources for an end-to-end proof of concept which illustrates how an MLFlow model can be trained on Azure Databricks, packaged as a web service, deployed to Kubernetes via CI ...
Copyright: © 2020 The Author(s). Published by Elsevier Ltd. We created and validated two versions of a deep-learning system to predict the development of diabetic ...
Transient simulations of dynamic systems, using physics-based scientific computing tools, are practically limited by availability of computational resources and power. While the promise of machine ...
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