Abstract: In this paper, randomized gossip-type matrix weighted consensus algorithms are proposed for both leaderless and leader-follower topologies. First, we introduce the notion of expected matrix ...
Abstract: Deep matrix factorization (DMF) has the capability to discover hierarchical structures within raw data by factorizing matrices layer by layer, allowing it to utilize latent information for ...
Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk assessment, achieving systematic evaluation and preventive ...
The final, formatted version of the article will be published soon. Introduction: For brain maturity assessment of infants aged above six months, T2-weighted MRI scans are recommended. Prior to ...
This study evaluates the Play Matrix, a novel observational tool designed to assess role-play in early childhood within the cultural-historical framework. The Play Matrix comprises 22 behavioral ...
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