Yazar "Gill, Sukhpal Singh" için listeleme
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ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments
Golec, Muhammed; Gill, Sukhpal Singh; Cuadrado, Felix; Parlikad, Ajith Kumar; Xu, Minxian; Wu, Huaming; Uhlig, Steve (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2024)Serverless edge computing decreases unnecessary resource usage on end devices with limited processing power and storage capacity. Despite its benefits, serverless edge computing's zero scalability is the major source of ... -
BlockFaaS: Blockchain-enabled Serverless Computing Framework for AI-driven IoT Healthcare Applications
Golec, Muhammed; Gill, Sukhpal Singh; Golec, Mustafa; Xu, Minxian; Ghosh, Soumya K; Kanhere, Salil S; Uhlig, Steve (SPRINGER, 2023)With the development of new sensor technologies, Internet of Things (IoT)-based healthcare applications have gained momentum in recent years. However, IoT devices have limited resources, making them incapable of executing ... -
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
Chowdhury, Deepraj; Das, Anik; Dey, Ajoy; Banerjee, Soham; Golec, Muhammed; Kollias, Dimitrios; Kumar, Mohit; Kaur, Guneet; Kaur, Rupinder; Arya, Rajesh Chand; Wander, Gurleen; Wander, Praneet; Wander, Gurpreet Singh; Parlikad, Ajith Kumar; Gill, Sukhpal Singh; Uhlig, Steve (ELSEVIER, 2023)COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest X-ray ... -
Edge AI: A Taxonomy, Systematic Review and Future Directions
Gill, Sukhpal Singh; Golec, Muhammed; Hu, Jianmin; Xu, Minxian; Du, Junhui; Wu, Huaming; Walia, Guneet Kaur; Murugesan, Subramaniam Subramanian; Ali, Babar; Kumar, Mohit; Ye, Kejiang; Verma, Prabal; Kumar, Surendra; Cuadrado, Felix; Uhlig, Steve (SPRINGER, 2024)Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyse data in close communication with the location where the data is captured with AI ... -
EdgeAISim: A toolkit for simulation and modelling of AI models in edge computing environments
Nandhakumar, Aadharsh Roshan; Baranwal, Ayush; Choudhary, Priyanshukumar; Golec, Muhammed; Gill, Sukhpal Singh (ELSEVIER, 2024)To meet next-generation Internet of Things (IoT) application demands, edge computing moves processing power and storage closer to the network edge to minimize latency and bandwidth utilization. Edge computing is becoming ... -
EdgeBus: Co-Simulation based resource management for heterogeneous mobile edge computing environments
Ali, Babar; Golec, Muhammed; Gill, Sukhpal Singh; Wu, Huaming; Cuadrado, Felix; Uhlig, Steve (ELSEVIER, 2024)Kubernetes has revolutionized traditional monolithic Internet of Things (IoT) applications into lightweight, decentralized, and independent microservices, thus becoming the de facto standard in the realm of container ... -
HealthFaaS: AI-Based Smart Healthcare System for Heart Patients Using Serverless Computing
Golec, Muhammed; Gill, Sukhpal Singh; Parlikad, Ajith Kumar; Uhlig, Steve (IEEE, 2023)Heart disease is one of the leading causes of death worldwide, and with early detection, mortality rates can be reduced. Well-known studies have shown that the latest artificial intelligence (AI) can be used to determine ... -
PRICELESS: Privacy enhanced AI-driven scalable framework for IoT applications in serverless edge computing environments
Golec, Muhammed; Golec, Mustafa; Xu, Minxian; Wu, Huaming; Gill, Sukhpal Singh; Uhlig, Steve (JOHN WILEY & SONS LTD, 2024)Serverless edge computing has emerged as a new paradigm that integrates the serverless and edge computing. By bringing processing power closer to the edge of the network, it provides advantages such as low latency by ...