Fabrizio De Vita

About Fabrizio De Vita

Fabrizio De Vita, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Università degli Studi di Messina, specializes in the field of Machine Learning, Deep Learning, Cyber Physical Systems, Embedded Systems.

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

A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things

µ-ff: On-device forward-forward training algorithm for microcontrollers

A web platform for the management of road survey and maintenance information: A preliminary step towards smart road management systems

A novel echo state network autoencoder for anomaly detection in industrial IoT systems

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

On-device training of deep learning models on edge microcontrollers

A fog-assisted system to defend against Sybils in vehicular crowdsourcing

A cloud platform for collecting and processing road pavement multi sensor data

Fabrizio De Vita Information

University

Position

___

Citations(all)

343

Citations(since 2020)

343

Cited By

48

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Fabrizio De Vita Skills & Research Interests

Machine Learning

Deep Learning

Cyber Physical Systems

Embedded Systems

Top articles of Fabrizio De Vita

A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things

Internet of Things

2023/12/1

µ-ff: On-device forward-forward training algorithm for microcontrollers

2023/6/26

A web platform for the management of road survey and maintenance information: A preliminary step towards smart road management systems

Structural control and health monitoring

2022/3

A novel echo state network autoencoder for anomaly detection in industrial IoT systems

IEEE Transactions on Industrial Informatics

2022/11/28

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

Structural Control and Health Monitoring

2022/10

On-device training of deep learning models on edge microcontrollers

2022/8/22

A fog-assisted system to defend against Sybils in vehicular crowdsourcing

Pervasive and Mobile Computing

2022/5

A cloud platform for collecting and processing road pavement multi sensor data

2021/8/23

A semi-supervised bayesian anomaly detection technique for diagnosing faults in industrial iot systems

2021/8/23

Fabrizio De Vita
Fabrizio De Vita

H-Index: 4

Dario Bruneo
Dario Bruneo

H-Index: 18

A novel recruitment policy to defend against sybils in vehicular crowdsourcing

2021/8

Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection

Pervasive and Mobile Computing

2021/8/1

Deep learning techniques for Intelligent Cyber Physical Systems: towards a new generation of smart and autonomous things

2021/1/28

Fabrizio De Vita
Fabrizio De Vita

H-Index: 4

Leveraging stack4things for federated learning in intelligent cyber physical systems

Journal of Sensor and Actuator Networks

2020/12/18

Fabrizio De Vita
Fabrizio De Vita

H-Index: 4

Dario Bruneo
Dario Bruneo

H-Index: 18

On the use of a full stack hardware/software infrastructure for sensor data fusion and fault prediction in industry 4.0

Pattern Recognition Letters

2020/10/1

Fabrizio De Vita
Fabrizio De Vita

H-Index: 4

Dario Bruneo
Dario Bruneo

H-Index: 18

Quantitative analysis of deep leaf: a plant disease detector on the smart edge

2020/9/14

A deep learning approach for pressure ulcer prevention using wearable computing

Human-centric Computing and Information Sciences

2020/2/3

See List of Professors in Fabrizio De Vita University(Università degli Studi di Messina)

Co-Authors

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