VALIDATION OF EMBEDDED STATE ESTIMATOR MODULES FOR DECENTRALIZED MONITORING OF POWER DISTRIBUTION SYSTEMS USING IOT COMPONENTS

Validation of Embedded State Estimator Modules for Decentralized Monitoring of Power Distribution Systems Using IoT Components

Recent theoretical studies demonstrate the advantages of using decentralized architectures over traditional centralized architectures for real-time Power Distribution Systems (PDSs) operation.These advantages include the reduction of the amount of data to be transmitted and processed when performing state estimation in PDSs.The main contribution of

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Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones

AbstractMobile health (mHealth) with continuous real-time monitoring is leading the era of digital medical convergence.Wearable devices and smartphones optimized as personalized health management platforms enable disease prediction, prevention, diagnosis, and even treatment.Ubiquitous and accessible medical services offered through mHealth strength

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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete

This study presents a detailed analysis of various machine learning models for predicting the interfacial bond strength of fiber-reinforced polymer (FRP) concrete, including multiple linear regression, Multigene Genetic Programming (MGGP), an ensemble of regression trees, Gaussian Process Regression Speakers (GPR), Support Vector Regression (SVR),

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