Cinzia Giannetti

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Power Quality Disturbance

Variable Selection

Top Venues

Comput. Ind. Eng.

IEEE Trans. Ind. Informatics

Publications

Robert Gibbs, Cinzia Giannetti, Thomas Baynes, Cameron Pleydell-Pearce
Leveraging Machine Learning Insights at the Hot Strip Rolling Mill, Tata Steel, Port Talbot. I2MTC (2024)
Kayal Lakshmanan, Aurash Karimi, Alex Carr, Philippe Wauters, Michael Auinger, Cameron Pleydell-Pearce, Cinzia Giannetti
A Hybrid Modelling Approach Based on Deep Learning for the Prediction of the Silicon Content in the Blast Furnace. KES (2023)
Samuel Latham, Cinzia Giannetti
A Tool to Combine Expert Knowledge and Machine Learning for Defect Detection and Root Cause Analysis in a Hot Strip Mill. SN Comput. Sci. 4 (5) (2023)
Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, Christoph Reich, François de Bertrand de Beuvron, Arnold Beckmann, Cinzia Giannetti
KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0. Robotics Comput. Integr. Manuf. 74 (2022)
Samuel Latham, Cinzia Giannetti
Root Cause Classification of Temperature-related Failure Modes in a Hot Strip Mill. IN4PL (2022)
Cinzia Giannetti, Aniekan Essien
Towards scalable and reusable predictive models for cyber twins in manufacturing systems. J. Intell. Manuf. 33 (2) (2022)
Kayal Lakshmanan, Eugenio Borghini, Arnold Beckmann, Cameron Pleydell-Pearce, Cinzia Giannetti
Data modelling and Remaining Useful Life estimation of rolls in a steel making cold rolling process. KES (2022)
Christian Andrew Griffiths, Cinzia Giannetti, Kamil T. Andrzejewski, Adam Morgan
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 Trans. Ind. Informatics 18 (2) (2022)
James Flynn, Eleanor Brealy, Cinzia Giannetti
Making Green Transport a Reality: A Classification Based Data Analysis Method to Identify Properties Suitable for Electric Vehicle Charging Point Installation. IGARSS (2021)
Callum O'Donovan, Cinzia Giannetti, Grazia Todeschini
A Novel Deep Learning Power Quality Disturbance Classification Method using Autoencoders. ICAART (2) (2021)
Aniekan Essien, Cinzia Giannetti
A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders. IEEE Trans. Ind. Informatics 16 (9) (2020)
Chunxu Li, Chenguang Yang, Cinzia Giannetti
Segmentation and generalisation for writing skills transfer from humans to robots. Cogn. Comput. Syst. 1 (1) (2019)
Aniekan Essien, Cinzia Giannetti
A Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders. INISTA (2019)
Aniekan Essien, Godwin Chukwkelu, Cinzia Giannetti
A Scalable Deep Convolutional LSTM Neural Network for Large-Scale Urban Traffic Flow Prediction using Recurrence Plots. AFRICON (2019)
Cinzia Giannetti
A framework for improving process robustness with quantification of uncertainties in Industry 4.0. INISTA (2017)
Cinzia Giannetti, Rajesh S. Ransing
Risk based uncertainty quantification to improve robustness of manufacturing operations. Comput. Ind. Eng. 101 (2016)
Rajesh S. Ransing, Raed S. Batbooti, Cinzia Giannetti, Meghana R. Ransing
A quality correlation algorithm for tolerance synthesis in manufacturing operations. Comput. Ind. Eng. 93 (2016)
Cinzia Giannetti, Meghana R. Ransing, Rajesh S. Ransing, David C. Bould, David T. Gethin, Johann Sienz
Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries. Int. J. Knowl. Syst. Sci. 6 (3) (2015)
Cinzia Giannetti, Rajesh S. Ransing, Meghana R. Ransing, David C. Bould, David T. Gethin, Johann Sienz
A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Comput. Ind. Eng. 72 (2014)
Rajesh S. Ransing, Cinzia Giannetti, Meghana R. Ransing, M. W. James
A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects. Comput. Ind. 64 (5) (2013)