This paper presents a framework for optimizing energy consumption in smart cities by integrating edge computing and data analytics. The model provides real-time monitoring and analysis of energy usage patterns, enabling efficient resource allocation, reduced energy waste, and improved sustainability for urban infrastructures.

Benjamin Thomas Clark, Olivia Grace Harris, Daniel Michael Thompson, Sophia Elizabeth White, Lucas Edward Collins

This research explores the integration of blockchain technology for secure data sharing between healthcare IoT devices. The proposed model ensures data integrity, privacy, and transparency while enabling efficient communication across distributed healthcare systems, improving patient care and fostering trust in healthcare data exchanges.

Christopher David Smith, Ella Katherine Robinson, Adam Benjamin King, Mia Caroline Walker, James Christopher Lee

This study develops an AI-powered anomaly detection model designed to enhance cybersecurity in cloud computing environments. By analyzing network traffic and system logs, the system identifies potential security breaches, enabling timely threat mitigation, improved data protection, and stronger defense mechanisms for cloud-based services.

Jack Alexander Davis, Isabella Grace Moore, Ethan Samuel Williams, Amelia Rose White, Oliver Thomas Harris

This paper proposes the use of edge AI for real-time video analytics in autonomous vehicles and traffic management systems. The model enables efficient object detection, traffic flow optimization, and intelligent decision-making, enhancing vehicle safety, reducing congestion, and improving overall urban mobility.

James Ryan Taylor, William Alexander Johnson, Grace Elizabeth Scott, Nathan Daniel Mitchell, Lily Anne Bennett

This research investigates the use of intelligent edge computing for real-time healthcare monitoring in rural areas. The system leverages local data processing to minimize latency and bandwidth usage, enabling real-time diagnostics, remote patient monitoring, and improved healthcare access in underserved regions.

Benjamin Adam Clark, Lily Sofia Morgan, Daniel William Harris, Nathaniel Oliver Taylor, Emily Grace Lewis

This paper discusses the integration of cloud-based smart sensors for real-time environmental monitoring in smart cities. The proposed system utilizes edge computing for data processing, enabling timely detection of air quality, temperature, and pollution levels, thus promoting sustainable urban environments.

Oliver Liam Parker, Noah Jackson Brown, Emma Isabella Harris, Mia Grace Turner, Benjamin Ethan Walker

This research proposes an AI-driven system for detecting cyber threats in cloud environments using deep learning algorithms. The model analyzes network traffic patterns, identifies suspicious activities, and generates real-time alerts to prevent potential cyberattacks, enhancing cloud infrastructure security.

Lucas Gabriel Morris, Chloe Olivia Williams, Liam Jackson Scott, Ava Sofia Allen, Mason Jack Evans