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A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications.

, , , , , , and . Phys. Commun., (August 2023)

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A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications., , , , , , and . Phys. Commun., (August 2023)A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues., , , , , , , and . IEEE Access, (2019)Multi-Agent Systems in Fog-Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring., , , , , , and . Sensors, 21 (20): 6923 (2021)Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods., , , , , , , , , and 5 other author(s). IEEE Access, (2020)Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques., , , , , , and . IET Image Process., 16 (2): 289-310 (2022)MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management., , , , , , , , and . Sensors, 20 (7): 1853 (2020)Enabling technologies for fog computing in healthcare IoT systems., , , , and . Future Gener. Comput. Syst., (2019)Attack graph reachability: concept, analysis, challenges and issues., , , , , and . Netw. Secur., 2021 (6): 13-19 (2021)