Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...
The study shows how probabilistic clustering supports intelligent data transmission strategies. The authors propose leveraging cluster probabilities to define transmission rules: sensors with a high ...
A vast region of our solar system, called the Kuiper belt, stretches from the orbit of Neptune out to 50 or so astronomical units (AU), where an AU is the distance between Earth and the sun. This ...
A collaborative study has developed a software called gutSMASH that identifies primary metabolic gene clusters (MGCs) in specific microbial taxonomic groups that are important in host–microbiome ...
In this paper, the authors present a metaheuristic algorithm that is inspired by Particle Swarm Optimization (PSO). The algorithm maintains a set of intercommunicating particle clusters and equips ...
Background: The provision of nutritional support for patients in intensive care units (ICUs) varies widely both within and between institutions. We tested the hypothesis that evidence-based algorithms ...
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