Cinzia Giannetti

发表

Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components

Christian Andrew Griffiths, M. P. Cooper, K. T. Andrzejewski, 2019, AIMS Electronics and Electrical Engineering.

Segmentation and generalisation for writing skills transfer from humans to robots

Chunxu Li, Cinzia Giannetti, Chenguang Yang, 2019, Cogn. Comput. Syst..

Knowledge management and knowledge discovery for process improvement and sustainable manufacturing: a foundry case study

Rajesh Ransing, Meghana R. Ransing, David T. Gethin, 2016 .

Optimisation process for robotic assembly of electronic components

Christian Andrew Griffiths, M. P. Cooper, K. T. Andrzejewski, 2018 .

A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders

Aniekan Essien, Cinzia Giannetti, Aniekan Essien, 2020, IEEE Transactions on Industrial Informatics.

A Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders

Cinzia Giannetti, Aniekan Essien, Aniekan Essien, 2019, 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA).

A framework for improving process robustness with quantification of uncertainties in Industry 4.0

Cinzia Giannetti, C. Giannetti, 2017, 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

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

Meghana R. Ransing, Rajesh S. Ransing, Cinzia Giannetti, 2013, Comput. Ind..

Optimisation of the Filament Winding Approach Using a Newly Developed In-House Uncertainty Model

Michael I. Friswell, Johann Sienz, Cinzia Giannetti, 2020, Eng.

A robust design of an innovative shaped rebar system using a novel uncertainty model

Michael I. Friswell, Johann Sienz, Cinzia Giannetti, 2018, Structural and Multidisciplinary Optimization.

A quality correlation algorithm for tolerance synthesis in manufacturing operations

Meghana R. Ransing, Rajesh S. Ransing, Cinzia Giannetti, 2016, Comput. Ind. Eng..

A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data

Meghana R. Ransing, David T. Gethin, Johann Sienz, 2014, Comput. Ind. Eng..

Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries

Meghana R. Ransing, David T. Gethin, Johann Sienz, 2015, Int. J. Knowl. Syst. Sci..

Risk based uncertainty quantification to improve robustness of manufacturing operations

Rajesh S. Ransing, Cinzia Giannetti, C. Giannetti, 2016, Comput. Ind. Eng..

KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0

Cecilia Zanni-Merk, François de Bertrand de Beuvron, Qiushi Cao, 2022, Robotics Comput. Integr. Manuf..

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

Cinzia Giannetti, Aniekan Essien, Aniekan Essien, 2021, Journal of Intelligent Manufacturing.

Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation

Grazia Todeschini, Cinzia Giannetti, Eugenio Borghini, 2021 .

A Novel Deep Learning Power Quality Disturbance Classification Method using Autoencoders

Grazia Todeschini, Cinzia Giannetti, Callum O'Donovan, 2021, ICAART.

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

Christian Andrew Griffiths, Cinzia Giannetti, Kamil T. Andrzejewski, 2022, IEEE Transactions on Industrial Informatics.

Using Convolutional Neural Networks to Map Houses Suitable for Electric Vehicle Home Charging

Cinzia Giannetti, James Flynn, J. Flynn, 2021, AI.