This research examines the application of artificial intelligence in cloud-based healthcare systems. It highlights how AI algorithms can improve patient outcomes by predicting health issues, streamlining administrative tasks, and enhancing personalized care, while also considering privacy and security concerns in cloud storage solutions.

James William Carter, Charlotte Olivia Thompson, Daniel Robert Harris, Emily Louise Anderson, Thomas Benjamin Walker

This paper delves into the role of big data analytics in cloud computing environments. It discusses how the cloud enables businesses to process and analyze large volumes of data in real time, driving smarter decision-making, operational efficiency, and competitive advantage through scalable infrastructure.

Matthew Andrew Wilson, Emily Grace Adams, Christopher Michael Carter, Josephine Ella Roberts, Nathaniel George Clark

This study explores the integration of cloud infrastructure with blockchain technology to create scalable, decentralized applications. By leveraging cloud computing, blockchain solutions can benefit from improved scalability, faster transaction speeds, and reduced operational costs, opening new possibilities in sectors like finance, logistics, and supply chain management.

Oliver Thomas King, Abigail Jane Harris, Benjamin Mark Robinson, Isabella Rose Davis, Samuel Louis Clark

This paper assesses the impact of hybrid cloud solutions on data security and compliance in regulated industries. By combining private and public cloud environments, organizations can optimize data protection, meet compliance requirements, and ensure seamless operations while maintaining flexibility in resource management and storage solutions.

Lucas Daniel Evans, Sarah Jane Martin, John Peter Williams, Chloe Olivia Scott, James David Nelson

This research presents a framework for optimizing edge computing in IoT applications. By reducing latency and processing data at the edge of the network, IoT devices can perform real-time analytics, enabling faster decision-making, enhanced data privacy, and reduced dependency on centralized cloud resources for critical operations.

Maxwell Oliver Turner, Grace Amelia Bennett, Nicholas Henry Williams, Olivia Charlotte Parker, Alexander Matthew Cooper

This paper investigates the role of artificial intelligence (AI) in improving healthcare systems. By analyzing patient data, AI algorithms can assist healthcare professionals in diagnosing diseases, predicting treatment outcomes, and optimizing healthcare workflows, contributing to more personalized, efficient, and cost-effective healthcare delivery.

Charlotte Amelia Davis, Elijah Benjamin Thompson, Grace Lily Harris, William Ethan Brown, Emma Sophia Clark

This research introduces a deep learning-based predictive maintenance model to reduce downtime in smart manufacturing systems. By analyzing sensor data and identifying failure patterns, the model predicts equipment malfunctions, allowing for timely maintenance actions and minimizing operational disruptions in industrial environments.

James Anthony Stevens, Isabelle Clara Murphy, John Michael Foster, Sarah Ann Richardson, David William Parker

This paper explores the application of quantum computing in supply chain optimization. By leveraging quantum algorithms, the model provides solutions to complex logistics problems, such as route planning and inventory management, leading to more efficient and cost-effective supply chain operations in various industries.

Oliver James Carter, Amelia Grace Watson, Samuel John Evans, Sophia Rose Turner, Daniel Edward Mitchell