Advancing anomaly detection in cloud environments with cutting‐edge generative AI for expert systems
Abstract As artificial intelligence (AI) continues to advance, Generative AI emerges as a transformative force, capable of generating novel content and revolutionizing anomaly detection methodologies. This paper presents CloudGEN, a pioneering approach to anomaly detection in cloud environments by leveraging the potential of Generative Adversarial ...
Umit Demirbaga
wiley +1 more source
Enhancing Infection Control in ICUS Through AI: A Literature Review
ABSTRACT Introduction Infection control in intensive care units (ICUs) is crucial due to the high risk of healthcare‐associated infections (HAIs), which can increase patient morbidity, mortality, and costs. Effective measures such as hand hygiene, use of personal protective equipment (PPE), patient isolation, and environmental cleaning are vital to ...
Aditya Amit Godbole +6 more
wiley +1 more source
Design and implementation of AMQP-based campus message bus system
For the strong coupling complex dependencies between applications in the traditional digital campus system,a digital campus message bus system was designs and implemented based on AMQP.In this system,the message bus is the digital messaging middleware ...
Wei-xin WU, Yu WANG, Xing-wei WANG
doaj +2 more sources
This research presents a next‐generation airline reservation system that integrates cloud microservices, distributed Artificial intelligence (AI) modules, and blockchain technology to improve system efficiency, security, and customer satisfaction. The proposed architecture enhances scalability, transaction speed, and fraud prevention, while increasing ...
Biman Barua, M. Shamim Kaiser
wiley +1 more source
Real‐Time Performance Optimization of Travel Reservation Systems Using AI and Microservices
This article proposes a hybrid architecture combining artificial intelligence and microservices to optimize the real‐time performance of travel reservation systems. By addressing key challenges such as latency, scalability, and resource allocation, the system demonstrates significant improvements in processing speed, availability, and user engagement ...
Biman Barua, M. Shamim Kaiser
wiley +1 more source
Evaluering och jämförelse av en RabbitMQ broker-lösning på Amazon Web Services och Microsoft Azure
In this thesis, a scalable, highly available and reactive RabbitMQ cluster is implemented on Amazon Web Services (AWS) and Microsoft Azure. An alternative solution was created on AWS using the CloudFormation service.
Järvelä, Andreas, Lindmark, Sebastian
core +2 more sources
Minimizing IoT Energy Consumption Using BLE and Metaprotocol Architecture
The Internet of Things is a very fast‐growing industry thanks to the increasing availability of cheap microcontrollers, which are its main component. However, the commonly used cloud technologies are not best suited for resource‐constrained devices, so energy optimization is needed to extend their battery life.
L. Milić +3 more
wiley +1 more source
Survey on open‐source digital twin frameworks–A case study approach
Abstract Digital twin (DT) technology has been a topic with academic and industrial coverage in recent years. DTs are intended to be a virtual high‐fidelity representation of a physical counterpart. Its complex nature requires several components to create and run a DT, and that is why many DT frameworks have been proposed in the literature.
Santiago Gil +3 more
wiley +1 more source
Performance Benchmarking of Kafka Streams vs RabbitMQ for Event-Driven Architectures
exaly +2 more sources
The Design and Implementation of Stream Processing for Data of Ground Automatic Weather Stations
To process the high-density and high-frequency mass data generated by ground automatic weather stations, a real-time stream processing system based on Storm is designed and implemented in the Meteorological Big Data Cloud Platform (Tianqing).
Xiao Weiqing +9 more
doaj +1 more source

