Companies struggle to continuously develop and deploy Artificial Intelligence (AI) models to
complex production systems due to AI characteristics while assuring quality. To ease the …

Tropical cyclones are one of the costliest natural disasters globally because of the wide
range of associated hazards. Thus, an accurate diagnostic model for tropical cyclone …

Road freight transport is the most used mode, and its importance is expected to increase.
Access to any location is the main reason for its proliferated use. However, the industry faces …

Background and Objectives Machine Learning offers opportunities to improve patient
outcomes, team performance, and reduce healthcare costs. Yet only a small fraction of all …

This paper describes an approach for integrating a Machine Learning (ML) model for fault
detection into an Asset Administration Shell (AAS), focusing on the seamless deployment of …

Industry 4.0 can be seen as the new paradigm shift in the field of industrial production,
leading to the digitalization of manufacturing processes. To this end, the concept of Digital …

In recent years, there has been a significant increase in the use of machine learning models
by industrial companies with the aim of predicting potential failures in their machinery or …

Intensive care medicine is a resource intense environment in which technical and clinical
decision making relies on rapidly assimilating a huge amount of categorical and timeseries …

Earth science data archives have significantly increased in size due to the number of
advanced sensors and science missions. In the meantime, Earth science data systems have …

NASA Earth Science Data Systems (ESDS) program manages a full lifecycle of data
collected by all Earth science missions. ESDS also develops capabilities optimized to …