This paper presents a literature review on methods for enabling real-time analysis in digital
twins, which are virtual models of physical systems. The advantages of digital twins are …

Recently, the rate of chronic diabetes disease has increased extensively. Diabetes
increases blood sugar and other problems like blurred vision, kidney failure, nerve …

Machine learning algorithms have had a profound impact on the field of computer science
over the past few decades. The performance of these algorithms heavily depends on the …

Emerging applications including deep neural networks (DNNs) and convolutional neural
networks (CNNs) employ massive amounts of data to perform computations and data …

In the era of digital transformation, automotive companies are rapidly evolving towards
customer integration and innovation. This study addresses a critical issue of low usage rates …

Introduction Develo** and evaluating a machine learning model to predict failures in an
injection moulding process offers significant potential to advance manufacturing …

La capacidad de desplazarse con confianza y seguridad es esencial para la vida
independiente y la participaciónactivaenlasociedad. Sinembargo …

Safety in construction projects is a concern for the industry. Accordingly, numerous studies
have been conducted to address the issue. Machine learning models have been developed …

1 Introduction 1.1 Injection Moulding Injection moulding (IM) is the top manufacturing
process in the industry due to its technical and economic advantages. Its main advantage …

Abstract Der Radverkehr ist zentraler Bestandteil einer klimafreundlichen Mobilität. EBikes
eröffnen neue Möglichkeiten für verschiedene Nutzergruppen und tragen so dazu bei den …