| Tool wear classification using time series imaging and deep learning G Martínez-Arellano, G Terrazas, S Ratchev The International Journal of Advanced Manufacturing Technology 104, 3647-3662, 2019 | 192 | 2019 |
| In-process tool wear prediction system based on machine learning techniques and force analysis A Gouarir, G Martínez-Arellano, G Terrazas, P Benardos, S Ratchev Procedia CIRP 77, 501-504, 2018 | 177 | 2018 |
| Digital manufacturing on a shoestring: Low cost digital solutions for SMEs D McFarlane, S Ratchev, A Thorne, AK Parlikad, L de Silva, B Schönfuß, ... Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry …, 2020 | 50 | 2020 |
| Online Tool Wear Classification during Dry Machining Using Real Time Cutting Force Measurements and a CNN Approach G Terrazas, G Martinez-Arellano, P Benardos, S Ratchev J. Manuf. Mater. Process. 2 (4), 72, 2018 | 48 | 2018 |
| An environment aware P-system model of quorum sensing G Terrazas, N Krasnogor, M Gheorghe, F Bernardini, S Diggle, M Cámara New Computational Paradigms: First Conference on Computability in Europe …, 2005 | 31 | 2005 |
| An Evolutionary Methodology for the Automated Design of Cellular Automaton-based Complex Systems. G Terrazas, P Siepmann, G Kendall, N Krasnogor Journal of Cellular Automata 2 (1), 2007 | 28 | 2007 |
| An appealing computational mechanism drawn from bacterial quorum sensing N Krasnogor, M Gheorghe, G Terrazas, S Diggle, P Williams, M Camara Bulletin of the European Association for Theoretical Computer Science, 135-148, 2005 | 28 | 2005 |
| A cloud-based framework for shop floor big data management and elastic computing analytics G Terrazas, N Ferry, S Ratchev Computers in Industry 109, 204-214, 2019 | 25 | 2019 |
| Towards a Big Data Platform for Managing Machine Generated Data in the Cloud N Ferry, G Terrazas, P Kalweit, A Solberg, S Ratchev, D Weinelt IEEE Industrial Informatics, 263-270, 2017 | 23 | 2017 |
| Complexity measurement based on information theory and kolmogorov complexity LT Lui, G Terrazas, H Zenil, C Alexander, N Krasnogor Artificial life 21 (2), 205-224, 2015 | 22 | 2015 |
| Springer: Berlin JR González, DA Pelta, C Cruz, G Terrazas, N Krasnogor Heidelberg, Germany 284, 2010 | 22 | 2010 |
| Evolving tiles for automated self-assembly design G Terrazas, M Gheorghe, G Kendall, N Krasnogor 2007 IEEE Congress on Evolutionary Computation, 2001-2008, 2007 | 19 | 2007 |
| A critical view of the evolutionary design of self-assembling systems N Krasnogor, G Terrazas, DA Pelta, G Ochoa Artificial Evolution: 7th International Conference, Evolution Artificielle …, 2006 | 19 | 2006 |
| Tying together solutions for digital manufacturing: assessment of connectivity technologies & approaches G Hawkridge, MP Hernandez, L de Silva, G Terrazas, Y Tlegenov, ... 2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019 | 17 | 2019 |
| Exploring programmable self-assembly in non-DNA based molecular computing G Terrazas, H Zenil, N Krasnogor Natural Computing 12, 499-515, 2013 | 17 | 2013 |
| Towards low-cost machine learning solutions for manufacturing SMEs J Kaiser, G Terrazas, D McFarlane, L de Silva AI & society, 1-7, 2023 | 15 | 2023 |
| Automated tile design for self-assembly conformations G Terrazas, N Krasnogor, G Kendall, M Gheorghe 2005 IEEE Congress on Evolutionary Computation 2, 1808-1814, 2005 | 13 | 2005 |
| Designing shoestring solutions: An approach for designing low-cost digital solutions for manufacturing G Hawkridge, D McFarlane, J Kaiser, L De Silva, G Terrazas International Workshop on Service Orientation in Holonic and Multi-Agent …, 2021 | 12 | 2021 |
| An application of HRI in low-cost digital manufacturing L de Silva, G Hawkridge, G Terrazas, M Perez Hernandez, A Thorne, ... Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 7 | 2020 |
| Towards shoestring solutions for UK manufacturing SMEs G Hawkridge, B Schönfuß, D McFarlane, L de Silva, G Terrazas, L Salter, ... Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 5 | 2020 |
Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle University在 ncl.ac.uk 的电子邮件经过验证
