CHARACTERISTICS AND MECHANISM OF COUPLING EFFECTS IN PARALLEL-CLADDED ACOUSTIC WAVEGUIDES



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 perceptual processes, including feedforward recognition and feedback modulation.The framework explains both psychophysical and physiological experimental data and maps well onto the hierarchical d

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Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning

This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for sentence-level aspects.The main objective of the proposed approach allows discovering user social data considering the extracted in-depth inference about sentiment depending on the context.Thus, in this paper, we investigate the contribution of utilizing the

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