Titlebook: Computational Science – ICCS 2024; 24th International C Leonardo Franco,Clélia de Mulatier,Peter M. A. Slo Conference proceedings 2024 The

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https://doi.org/10.1007/978-3-540-68376-6management strategy leveraging data analytics to identify patterns within the COPD patient population and advocate for employing a finite-state machine (FSM) approach to model COPD exacerbations. Further research and validation are crucial to refine and scale this integrated model.

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Strategic Promotional Campaigns for?Sustainable Behaviors: Maximizing Influence in?Competitive Complw that it is possible to achieve widespread adoption of beliefs, even under very limited network information. However, this success requires a strategic approach that includes additional efforts to prevent the targeted influencers from abandoning these attitudes in the future.

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Inference Algorithm for?Knowledge Bases with?Rule Cluster Structurefficiency. We used four various real datasets in our experimental stage. Overall, we proceeded with almost twenty thousand experiments. The results prove that the clustering algorithm, the amount of input data, the method of cluster representation, and the subject of clustering significantly impact the inference efficiency.

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A Virtual Clinical Trial for?Evaluation of?Intelligent Monitoring of?Exacerbation Level for?COPD Patmanagement strategy leveraging data analytics to identify patterns within the COPD patient population and advocate for employing a finite-state machine (FSM) approach to model COPD exacerbations. Further research and validation are crucial to refine and scale this integrated model.

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