This study presents the integration of artificial intelligence with Internet of Things (IoT) devices to create real-time monitoring systems for smart cities. The AI-based models process IoT sensor data to detect anomalies, predict traffic patterns, and improve urban infrastructure management.

Lucas Ryan Johnson, Emily Isabella Cooper, Noah Benjamin Davis, Olivia Grace Harris, Charles Christopher Turner

This paper explores the challenges and solutions related to cybersecurity and data privacy in cloud computing environments. It discusses the latest security protocols, encryption techniques, and policy implementations designed to protect sensitive data while maintaining compliance with global privacy regulations.

Jacob William Thomas, Sofia Marie Clark, Michael John Adams, Emily Rose Williams, Jack Daniel Harris

This paper discusses the use of machine learning algorithms to optimize cloud resource management in multi-tenant environments. The algorithms dynamically allocate resources based on workload predictions, ensuring high performance, cost efficiency, and scalability across diverse cloud services and applications.

Alexander Benjamin Scott, Abigail Claire Cooper, Mason Thomas Johnson, Isabella Kate Williams, Liam Owen Mitchell

This research paper presents cloud-based healthcare solutions powered by artificial intelligence. It explores the integration of AI models to enhance medical diagnostics, personalize treatment plans, and streamline patient care management using real-time data from wearables and health monitoring systems.

Christopher Daniel Evans, Mia Isabelle Turner, Ethan Alexander Johnson, Chloe Sophia Miller, Isabella Mae Davis

This paper investigates the integration of blockchain technology with cloud computing to enhance security, transparency, and efficiency in distributed systems. By implementing decentralized ledger technology, it ensures secure transactions, privacy protection, and immutable records for cloud service providers and consumers.

Matthew James Anderson, Olivia Grace White, Samuel Joseph Harris, Harper Elizabeth Clark, Jacob Lucas Walker

This research explores cloud-based IoT solutions for the management of smart city infrastructures. It leverages real-time data from IoT devices to optimize urban services, including transportation, energy distribution, and waste management, enabling efficient and sustainable urban living environments.

Lucas Michael Robinson, Ava Scarlett Moore, Noah William King, Grace Lily Harris, Mason Alexander Lewis

This paper presents a novel AI-based predictive analytics framework for cloud resource management. By leveraging machine learning algorithms, it enables dynamic allocation of computational resources, reducing latency and enhancing the performance of cloud applications under varying load conditions in real time.

Oliver Benjamin Davis, Amelia Charlotte Taylor, Leo William Johnson, Sophia Lily Parker, Ethan James Miller

This research investigates the integration of edge computing with cloud systems to achieve scalable and low-latency data processing. The framework enhances the performance of real-time applications, such as video streaming and smart manufacturing, by distributing computational tasks across edge devices and cloud platforms.

Benjamin Samuel Carter, Isabella Grace Martin, Elijah Alexander Scott, Amelia Lily Walker, Owen Max Johnson