Research on railway emergency resource scheduling strategy under multiple uncertainty coupling. [PDF]
Sun J, Wan Y, Lu G, Tang Z.
europepmc +1 more source
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
SLA aware deep reinforcement learning for adaptive EdgeCloud task scheduling. [PDF]
Yamsani N, P CR.
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Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
A unified low-carbon cybersecurity framework integrating energy-efficient intrusion detection, lightweight cryptography, and carbon-aware scheduling for edge-cloud architectures. [PDF]
Alshammari A.
europepmc +1 more source
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
LLM-enabled adaptive scheduling in IoT sensing for optimized network performance. [PDF]
Khan MN +6 more
europepmc +1 more source
Terminal-Edge-Cloud Collaborative Computation Offloading and Resource Allocation Strategy Based on Improved Mayfly Algorithm for District Heating Systems. [PDF]
Chen GH +7 more
europepmc +1 more source
A similarity-based predictive scheduling method for dynamic electric vehicle charging load management. [PDF]
Firouzjah KG, Ghasemi J.
europepmc +1 more source
Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Anand J, Karthikeyan B.
europepmc +1 more source

