Publications

Journal Articles

  1. P. Cooper, M., A. Griffiths, C., T. Andrzejewski, K., Giannetti, C., Giannetti, C., Griffiths, C. Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components AIMS Electronics and Electrical Engineering 3 3 274 289
  2. Essien, A., Giannetti, C. A Deep Learning model for Smart Manufacturing using Convolutional LSTM Neural Network Autoencoders IEEE Transactions on Industrial Informatics 16 9 6069 6078
  3. Giannetti, C., Lucini, B., Vadacchino, D. Machine Learning as a universal tool for quantitative investigations of phase transitions Nuclear Physics B 944 114639
  4. Li, C., Yang, C., Giannetti, C. Segmentation and generalisation for writing skills transfer from humans to robots Cognitive Computation and Systems 1 1 20 25
  5. Aldoumani, N., Haddad Khodaparast, H., Giannetti, C., Abdallah, Z., Cameron, I., Friswell, M., Sienz, J. A robust design of an innovative shaped rebar system using a novel uncertainty model Structural and Multidisciplinary Optimization 58 4 1351 1365
  6. Andrzejewski, K., Cooper, M., Griffiths, C., Giannetti, C., Giannetti, C., Griffiths, C. Optimisation process for robotic assembly of electronic components The International Journal of Advanced Manufacturing Technology
  7. Giannetti, C., Ransing, R. Risk based uncertainty quantification to improve robustness of manufacturing operations Computers & Industrial Engineering 101 70 80
  8. Ransing, R., Batbooti, R., Giannetti, C. A quality correlation algorithm for tolerance synthesis in manufacturing operations Computers & Industrial Engineering 93 1 11
  9. Giannetti, C., Ransing, M., Ransing, R., Bould, D., Gethin, D., Sienz, J. Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries International Journal of Knowledge and Systems Science 6 3 18 37
  10. Giannetti, C., Ransing, R., Ransing, M., Bould, D., Gethin, D., Sienz, J. A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data Computers & Industrial Engineering 72 217 229
  11. Ransing, R., Giannetti, C., Ransing, M., James, M., Ransing, R., Giannetti, C. 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 Computers in Industry 64 5 514 523

Conference Contributions

  1. Essien, A., Giannetti, C. A Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) 1 6
  2. Giannetti, C. A framework for improving process robustness with quantification of uncertainties in Industry 4.0 INnovations in Intelligent SysTems and Applications (INISTA), 2017 IEEE International Conference on 189 194
  3. Giannetti, C. Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry CIE44 & IMSS'14 Proceedings