This study explores the integration of cloud computing and machine learning to enhance real-time data analysis in smart cities. The proposed solution leverages cloud resources to process large datasets and utilizes machine learning algorithms to derive actionable insights for city infrastructure management.

Charlotte Ava King, Lucas Mason Harris, Amelia Grace Adams, Henry Wyatt Taylor, Mia Zoe Walker

This paper investigates the application of cloud computing solutions to enhance data security in digital government services. By adopting cloud infrastructure and applying advanced encryption techniques, the study ensures secure data storage, access control, and compliance with government data protection regulations.

Jacob Elias Martin, Eleanor Claire Nelson, Oliver Jackson Davis, Sophia Charlotte Scott, Michael Liam Thompson

This research explores the integration of blockchain technology into cloud-based healthcare systems to ensure data integrity. By decentralizing patient records and providing transparent access logs, blockchain enhances the security and reliability of healthcare data management systems while supporting compliance with privacy regulations.

James Noah Walker, Benjamin Alexander Davis, Olivia Grace Johnson, Charlotte Ava Smith, Emma Lily Turner

This paper presents a cloud-based machine learning framework for predictive maintenance in industrial automation. By analyzing sensor data through cloud computing, the system can predict equipment failures before they occur, optimizing maintenance schedules and reducing downtime while improving the overall productivity of manufacturing processes.

William Michael Clark, Abigail Hannah Roberts, Ethan Joshua Brown, Emma Scarlett Cooper, Daniel Henry Ward

This research focuses on the integration of edge computing with cloud infrastructure to enable real-time traffic management. By processing data at the edge, this approach reduces latency and allows for faster response times, while the cloud provides scalable analytics and data storage to improve urban mobility.

George David Allen, Sophia Charlotte Moore, Alexander Thomas White, Charlotte Emily Harris, Mason Lucas Bennett

This paper investigates the use of blockchain technology for secure data sharing in smart grids. It explores how decentralized ledgers can enhance trust, transparency, and security while supporting the efficient exchange of energy data in cloud-enabled smart grid systems, ultimately improving energy distribution and consumption efficiency.

Isabella Grace Walker, Mason Ryan Carter, Lillian Ava Richardson, Olivia Isabelle Adams, Harper Grace Mitchell