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ORCIDDaniele Scrimieri
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Journal Articles
- 2023
[j7]Ahsanullah Yunas Mahmoud
, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif:
Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare. Comput. Biol. Medicine 164: 107295 (2023)- 2017
- [j6]Daniele Scrimieri, Nikolas Antzoulatos, Elkin Castro, Svetan M. Ratchev:
Automated experience-based learning for plug and produce assembly systems. Int. J. Prod. Res. 55(13): 3674-3685 (2017) - 2015
- [j5]Daniele Scrimieri, Shukri M. Afazov, Svetan M. Ratchev:
An in-core grid index for transferring finite element data across dissimilar meshes. Adv. Eng. Softw. 88: 53-62 (2015) - [j4]Daniele Scrimieri, Robert F. Oates, Svetan M. Ratchev:
Learning and reuse of engineering ramp-up strategies for modular assembly systems. J. Intell. Manuf. 26(6): 1063-1076 (2015) - 2014
- [j3]Daniele Scrimieri, Shukri M. Afazov, Adib A. Becker, Svetan M. Ratchev:
Fast mapping of finite element field variables between meshes with different densities and element types. Adv. Eng. Softw. 67: 90-98 (2014) - [j2]Nikolas Antzoulatos, Elkin Castro, Daniele Scrimieri, Svetan M. Ratchev:
A multi-agent architecture for plug and produce on an industrial assembly platform. Prod. Eng. 8(6): 773-781 (2014) - 2007
- [j1]Emanuele Covino, Giovanni Pani, Daniele Scrimieri:
Compile-time Computation of Polytime Functions. J. Univers. Comput. Sci. 13(4): 468-478 (2007)
Conference and Workshop Papers
- 2023
- [c11]Omar Adalat, Daniele Scrimieri, Savas Konur:
Optimal Manufacturing Controller Synthesis Using Situation Calculus. SGAI Conf. 2023: 222-227 - 2022
- [c10]Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif:
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective. FRUCT 2022: 152-161 - [c9]Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif:
Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. ICMLA 2022: 986-991 - [c8]Omar Adalat, Muhammad Talal, Mohammed Adem Ali Cherif, Daniele Scrimieri:
Model-Based Generation of Manufacturing Process Plans Through Incremental Topology Formation. UKCI 2022: 312-323 - [c7]Omar Adalat, Daniele Scrimieri:
Efficient Finite Element Mesh Mapping Using Octree Indexing. UKCI 2022: 347-358 - 2021
- [c6]Luke Brown, Shukri M. Afazov, Daniele Scrimieri:
Towards Autonomous Health Monitoring of Rails Using a FEA-ANN Based Approach. UKCI 2021: 569-576 - 2014
- [c5]Nikolas Antzoulatos, Elkin Castro, Daniele Scrimieri, Svetan M. Ratchev:
A Multi-Agent System Architecture for Self-configuration. IPAS 2014: 118-125 - [c4]André Dionísio Rocha, Giovanni Di Orio, José Barata, Nikolas Antzoulatos, Elkin Castro, Daniele Scrimieri, Svetan M. Ratchev, Luis Ribeiro:
An agent based framework to support plug and produce. INDIN 2014: 504-510 - 2012
- [c3]Robert F. Oates, Daniele Scrimieri, Svetan M. Ratchev:
Accelerated Ramp-Up of Assembly Systems through Self-learning. IPAS 2012: 175-182 - 2008
- [c2]Emanuele Covino, Giovanni Pani, Daniele Scrimieri:
Extending C++ Static Computation of Polynomial-Time Algorithms. FCS 2008: 90-96 - 2007
- [c1]Emanuele Covino, Giovanni Pani, Daniele Scrimieri:
Static Computation of Polynomial-time Functions in C++. FCS 2007: 41-45
Coauthor Index
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