Lorenzo Carnevale

About Lorenzo Carnevale

Lorenzo Carnevale, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Università degli Studi di Messina, specializes in the field of intelligent systems, edge intelligence, computational intelligence, internet of things.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards a precision medicine Solution for optimal pediatric Laparoscopy: An exploratory data analysis for features Selections

Computation of the Abdominal Compliance for Pediatric Laparoscopy by Fitting Curve with the Levenberg-Marquardt Algorithm

Toward a lightweight ASR solution for atypical speech on the edge

Toward the Edge-Cloud Continuum Through the Serverless Workflows

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management

When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework

Secure-by-design serverless workflows on the edge–cloud continuum through the osmotic computing paradigm

Generalized Defensive Modeling of Malware Propagation in WSNs Using Atangana–Baleanu–Caputo (ABC) Fractional Derivative

Lorenzo Carnevale Information

University

Position

___

Citations(all)

755

Citations(since 2020)

705

Cited By

346

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Lorenzo Carnevale Skills & Research Interests

intelligent systems

edge intelligence

computational intelligence

internet of things

Top articles of Lorenzo Carnevale

Towards a precision medicine Solution for optimal pediatric Laparoscopy: An exploratory data analysis for features Selections

Biomedical Signal Processing and Control

2024/2/1

Computation of the Abdominal Compliance for Pediatric Laparoscopy by Fitting Curve with the Levenberg-Marquardt Algorithm

2023/12/4

Toward a lightweight ASR solution for atypical speech on the edge

Future Generation Computer Systems

2023/12/1

Toward the Edge-Cloud Continuum Through the Serverless Workflows

2023/8/10

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management

2023/7/9

When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework

2023/7/9

Lorenzo Carnevale
Lorenzo Carnevale

H-Index: 10

Massimo Villari
Massimo Villari

H-Index: 29

Secure-by-design serverless workflows on the edge–cloud continuum through the osmotic computing paradigm

Internet of Things

2023/7/1

Generalized Defensive Modeling of Malware Propagation in WSNs Using Atangana–Baleanu–Caputo (ABC) Fractional Derivative

IEEE Access

2023/5/15

Edge computing solutions supporting voice recognition services for speakers with dysarthria

2023/5/1

Securing Serverless Workflows on the Cloud Edge Continuum

2023/5/1

Orchestration of Containerized Applications in the Cloud Continuum

2023/3/13

Secure and Energy Efficient Filtered Over-the-Air Internet of Things Setup in a Wireless Mesh Network for Firmware Freshness

2023/12/15

Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis

2023/12/4

Lorenzo Carnevale
Lorenzo Carnevale

H-Index: 10

Maria Fazio
Maria Fazio

H-Index: 25

Make Federated Learning a Standard in Robotics by Using ROS2

2023/12/4

OpenSEM: an Open Framework for Data-Driven Structural and Environmental Monitoring

2023/12/4

Domenica De Domenico
Domenica De Domenico

H-Index: 3

Lorenzo Carnevale
Lorenzo Carnevale

H-Index: 10

EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management

2023/12/4

Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture

2023/12/4

Scaling data analysis services in an edge-based federated learning environment

2022/12/6

Differences in self and proxy assessments regarding motivation, quality of life and care dependency of people with dementia considering a technology‐based intervention

Alzheimer's & Dementia

2022/12

Lorenzo Carnevale
Lorenzo Carnevale

H-Index: 10

From Cloud-Edge to Edge-Edge Continuum: the Swarm-Based Edge Computing Systems

2022/9/12

See List of Professors in Lorenzo Carnevale University(Università degli Studi di Messina)

Co-Authors

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