Cinzia Giannetti

Cinzia Giannetti

Swansea University

H-index: 13

Europe-United Kingdom

About Cinzia Giannetti

Cinzia Giannetti, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at Swansea University, specializes in the field of Manufacturing Systems Engineering, Big Data, Manufacturing Informatics and IoTs, Cyber Physical Systems.

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

Deep learning for robust forecasting of hot metal silicon content in a blast furnace

Revolutionising the Sustainability of Steel Manufacturing Using Computer Vision

Steelmaking Predictive Analytics Based on Random Forest and Semantic Reasoning

A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill

A Robust Vehicle Detection Model for LiDAR Sensor Using Simulation Data and Transfer Learning Methods

Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation

Anomaly Detection of DC Nut Runner Processes in Engine Assembly

A Hybrid Modelling Approach Based on Deep Learning for the Prediction of the Silicon Content in the Blast Furnace

Cinzia Giannetti Information

University

Position

___

Citations(all)

727

Citations(since 2020)

632

Cited By

203

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

16

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Cinzia Giannetti Skills & Research Interests

Manufacturing Systems Engineering

Big Data

Manufacturing Informatics and IoTs

Cyber Physical Systems

Top articles of Cinzia Giannetti

Deep learning for robust forecasting of hot metal silicon content in a blast furnace

The International Journal of Advanced Manufacturing Technology

2024/3/1

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Revolutionising the Sustainability of Steel Manufacturing Using Computer Vision

Procedia Computer Science

2024/1/1

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Steelmaking Predictive Analytics Based on Random Forest and Semantic Reasoning

Applied Sciences

2023/11/28

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Arnold Beckmann
Arnold Beckmann

H-Index: 7

A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill

SN Computer Science

2023/8/22

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

A Robust Vehicle Detection Model for LiDAR Sensor Using Simulation Data and Transfer Learning Methods

AI

2023/6/1

Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation

The International Journal of Advanced Manufacturing Technology

2023/5

Grazia Todeschini
Grazia Todeschini

H-Index: 9

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Anomaly Detection of DC Nut Runner Processes in Engine Assembly

AI

2023/2/7

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

A Hybrid Modelling Approach Based on Deep Learning for the Prediction of the Silicon Content in the Blast Furnace

Procedia Computer Science

2023/1/1

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Enabling Sustainable Steel Production with Computer Vision

2023

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

An image-based deep transfer learning approach to classify power quality disturbances

Electric Power Systems Research

2022/12/1

Grazia Todeschini
Grazia Todeschini

H-Index: 9

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

KSPMI: a knowledge-based system for predictive maintenance in industry 4.0

Robotics and Computer-Integrated Manufacturing

2022/4/1

Towards scalable and reusable predictive models for cyber twins in manufacturing systems

Journal of Intelligent Manufacturing

2022/2

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Aniekan Essien
Aniekan Essien

H-Index: 5

Root Cause Classification of Temperature-related Failure Modes in a Hot Strip Mill.

2022

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Data modelling and Remaining Useful Life estimation of rolls in a steel making cold rolling process

Procedia Computer Science

2022/1/1

Arnold Beckmann
Arnold Beckmann

H-Index: 7

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

A Novel Deep Learning Power Quality Disturbance Classification Method using Autoencoders.

2021

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Grazia Todeschini
Grazia Todeschini

H-Index: 9

Pre-trained CNN for classification of time series images of anti-necking control in a hot strip mill

The 9th IIAE International Conference on Industrial Engineering

2021

Making Green Transport a Reality: A Classification Based Data Analysis Method to Identify Properties Suitable for Electric Vehicle Charging Point Installation

2021/7/11

James Flynn
James Flynn

H-Index: 24

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Short term load forecasting using TabNet: A comparative study with traditional state-of-the-art regression models

Engineering Proceedings

2021/6/25

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

Data-driven energy storage scheduling to minimise peak demand on distribution systems with pv generation

Energies

2021/1

Comparison of a bat and genetic algorithm generated sequence against lead through programming when assembling a PCB using a six-axis robot with multiple motions and speeds

IEEE Transactions on Industrial Informatics

2021/5/21

Cinzia Giannetti
Cinzia Giannetti

H-Index: 9

See List of Professors in Cinzia Giannetti University(Swansea University)