Підписатись
Daniele Scrimieri
Daniele Scrimieri
Associate Professor, University of Bradford
Підтверджена електронна адреса в bradford.ac.uk - Домашня сторінка
Назва
Посилання
Посилання
Рік
An agent based framework to support plug and produce
A Rocha, G Di Orio, J Barata, N Antzoulatos, E Castro, D Scrimieri, ...
2014 12th IEEE International Conference on Industrial Informatics (INDIN …, 2014
702014
A multi-agent architecture for plug and produce on an industrial assembly platform
N Antzoulatos, E Castro, D Scrimieri, S Ratchev
Production Engineering 8, 773-781, 2014
522014
Chatter model for enabling a digital twin in machining
S Afazov, D Scrimieri
The International Journal of Advanced Manufacturing Technology 110, 2439-2444, 2020
462020
An improved distortion compensation approach for additive manufacturing using optically scanned data
S Afazov, E Semerdzhieva, D Scrimieri, A Serjouei, B Kairoshev, ...
Virtual and Physical Prototyping 16 (1), 1-13, 2021
372021
Arthroscopic transtendon repair of partial articular-sided supraspinatus tendon avulsion
GB Vinanti, A Rossato, D Scrimieri, M Petrera
Knee Surgery, Sports Traumatology, Arthroscopy 25, 2151-2156, 2017
252017
Learning and reuse of engineering ramp-up strategies for modular assembly systems
D Scrimieri, RF Oates, SM Ratchev
Journal of Intelligent Manufacturing 26, 1063-1076, 2015
212015
Automated experience-based learning for plug and produce assembly systems
D Scrimieri, N Antzoulatos, E Castro, SM Ratchev
International Journal of Production Research 55 (13), 3674-3685, 2017
182017
Fast mapping of finite element field variables between meshes with different densities and element types
D Scrimieri, SM Afazov, AA Becker, SM Ratchev
Advances in Engineering Software 67, 90-98, 2014
182014
Design of a self-learning multi-agent framework for the adaptation of modular production systems
D Scrimieri, SM Afazov, SM Ratchev
The International Journal of Advanced Manufacturing Technology 115 (5), 1745 …, 2021
122021
Accelerated ramp-up of assembly systems through self-learning
R Oates, D Scrimieri, S Ratchev
Precision Assembly Technologies and Systems: 6th IFIP WG 5.5 International …, 2012
112012
An in-core grid index for transferring finite element data across dissimilar meshes
D Scrimieri, SM Afazov, SM Ratchev
Advances in Engineering Software 88, 53-62, 2015
82015
Early diagnosis and personalised treatment focusing on synthetic data modelling: novel visual learning approach in healthcare
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
Computers in Biology and Medicine 164, 107295, 2023
72023
An integrated data-and capability-driven approach to the reconfiguration of agent-based production systems
D Scrimieri, O Adalat, S Afazov, S Ratchev
The International Journal of Advanced Manufacturing Technology 124 (3), 1155 …, 2023
62023
A multi-agent system architecture for self-configuration
N Antzoulatos, E Castro, D Scrimieri, S Ratchev
Precision Assembly Technologies and Systems: 7th IFIP WG 5.5 International …, 2014
62014
Review of immunotherapy classification: application domains, datasets, algorithms and software tools from machine learning perspective
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
2022 32nd Conference of Open Innovations Association (FRUCT), 152-161, 2022
52022
Modular reconfiguration of flexible production systems using machine learning and performance estimates
D Scrimieri, O Adalat, S Afazov, S Ratchev
IFAC-PapersOnLine 55 (10), 353-358, 2022
52022
A k-nearest neighbour technique for experience-based adaptation of assembly stations
D Scrimieri, SM Ratchev
Journal of Control, Automation and Electrical Systems 25 (6), 679-688, 2014
52014
Machine learning experiments with artificially generated big data from small immunotherapy datasets
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
42022
Automated experience-based learning for Plug and Produce assembly systems
D Scrimieri, N Antzoulatos, E Castro, SM Ratchev
IFAC-PapersOnLine 48 (3), 2083-2088, 2015
42015
Capture and application of adaptation knowledge on assembly stations
D Scrimieri, S Ratchev
IFAC Proceedings Volumes 46 (7), 87-92, 2013
32013
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