Giorgio de Alteriis

Professore a Contratto in Misure Elettriche ed Elettroniche

University of Naples Federico II

Italy

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Giorgio de Alteriis is a Professore a Contratto in Misure Elettriche ed Elettroniche at the University of Naples Federico II, Italy. His research areas include advanced monitoring systems in structural engineering, the integration of artificial intelligence in navigation systems, and innovative solutions for drone technology. Recent publications highlight his work on tendon anomaly identification in prestressed concrete beams, heart failure management using SGLT2 inhibitors, and the utilization of digital twins in cyber-physical systems.

Articles (12)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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ITALY

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Annalisa Liccardo

Professor

University of Naples Federico II

ITALY

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Domenico Accardo

University of Naples Federico II

ITALY

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Paolo Chiariotti

Associate Professor

Politecnico di Milano

ITALY

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Giorgio de Alteriis

Research Interests

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Articles (12)

Tendon Anomaly Identification in Prestressed Concrete Beams Based on an Advanced Monitoring MEMS and Data-Driven Detection of Structural Damage

Harnessing the Synergy of SGLT2 Inhibitors and Continuous Ketone Monitoring (CKM) in Managing Heart Failure among Patients with Type 1 Diabetes

Innovative Fusion Strategy for MEMS Redundant-IMU Exploiting Custom 3D Components

The Use of Artificial Intelligence Approaches for Performance Improvement of Low-Cost Integrated Navigation Systems

On the suitability of redundant accelerometers for the implementation of smart oscillation monitoring system: Preliminary assessment

Using Drone Swarms as a Countermeasure of Radar Detection

Low-Cost and High-Performance Solution for Positioning and Monitoring of Large Structures

Using Drone Swarms as a Countermeasure of Radar Detection

An Improved Method Based on Bluetooth Low-Energy Fingerprinting for the Implementation of PEPS System

Digital twins based on augmented reality of measurement instruments for the implementation of a cyber-physical system

A data-driven learning method for online prediction of drone battery discharge

On the Suitability of Augmented Reality for Safe Experiments on Radioactive Materials in Physics Educational Applications

Collaborators (8)

Alessia Teresa Silvestri

Domenico Asprone

Alfredo Cigada

Antonino Squillace

Rosario Schiano Lo Moriello

Annalisa Liccardo

Domenico Accardo

Paolo Chiariotti

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