IMAGE SYNTHESIS PIPELINE FOR CNN-BASED SENSING SYSTEMS

Image Synthesis Pipeline for CNN-Based Sensing Systems

The rapid development of machine learning technologies in recent years has led to the emergence of CNN-based Tote Bag sensors or ML-enabled smart sensor systems, which are intensively used in medical analytics, unmanned driving of cars, Earth sensing, etc.In practice, the accuracy of CNN-based sensors is highly dependent on the quality of the train

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Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method

This study investigates perception gaps among stakeholders—policy-makers, operators, users, and non-users—regarding car-sharing, bike-sharing, and scooter-sharing systems in Turin, Italy.Based on 628 surveys collected between November 2021 and February 2022 and analyzed using the Bayesian Best-Worst Method (BWM) multicriteria technique, it high

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Polymicrobial interactions between Streptococcus mitis, Streptococcus sanguinis and oral associated Candida albicans on an in vitro salivary biofilm and differential expression of ALS1, ALS2 and ALS3 genes

Interactions between oral microorganisms contribute to formation of polymicrobial communities on surfaces and prosthetics.Since streptococci are early colonizers, the ability of Candida albicans to adhere to streptococci paves the way for an additional surface for candidal colonization and propagation.This study aimed to investigate the molecular r

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