ENHANCING DISASTER MANAGEMENT THROUGH MULTI-OBJECTIVE WATER WAVE OPTIMIZATION FOR MEDICAL SUPPLIES STORAGE AND DISTRIBUTION

Enhancing disaster management through multi-objective water wave optimization for medical supplies storage and distribution

This paper conducts a comparative analysis of advanced methodologies aimed at addressing the intricate task of scheduling medical supplies in both civilian and military sectors for epidemic prevention and control.This study introduces a multi-objective water wave optimization (MOWWO) algorithm and enhance ice blue graphic tee its efficacy by incorp

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Top-down feedback in an HMAX-like cortical model of object perception based on hierarchical Bayesian networks and belief propagation.

Hierarchical generative models, such as Bayesian networks, and belief propagation have been shown to provide a theoretical framework that can account for nacrack.com perceptual processes, including feedforward recognition and feedback modulation.The framework explains both psychophysical and physiological experimental data and maps well onto the hi

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Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study

This paper suggests a novel clustering method for analyzing the National Incident-Based Reporting System (NIBRS) data, which include the determination of correlation of different crime types, the development of a likelihood index for crimes to occur in a jurisdiction, and the clustering of jurisdictions based on read more crime type.The method was

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