Ferguson's expertise lies in using machine learning models to detect anomalies in cybersecurity systems. For this project ... The ability to predict a cavity fault offers the invaluable chance ...

enabling real-time predictions with minimal effort. Additionally, Azure ML supports CI/CD pipelines, allowing for automated testing, versioning, and deployment of models using MLOps best practices.

This paper addresses these challenges by proposing a novel Deep Learning (DL) approach for traffic prediction ... Our proposed architecture has significant implications for developing more efficient ...

using advanced machine learning techniques within a software-defined networking (SDN) framework specifically tailored for healthcare systems. In this paper, the proposed architecture implement machine ...

The use of data mining means analysing big data to identify patterns that help ML algorithms make future predictions ... Machine learning is used in the development of the model. LR, NB, SVM, DT ...

Researchers used advanced machine learning to increase ... populations of other healthcare systems and, eventually, for clinicians and researchers to use the tool to tailor global risk models.

Abstract: Managing urban traffic dynamics is critical in Intelligent Transportation Systems ... prediction focuses on offline learning scenarios. This paper researches a blockchain-enhanced ...

Leveraging machine learning, the IVPM-GA method was adopted to predict cognitive load and iteratively optimize ... Figure 1 illustrates the system architecture. Figure 1. Structure of virtual reality ...