Daniele Scrimieri

According to our database, Daniele Scrimieri authored at least 18 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare.

Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif

Comput. Biol. Medicine, September, 2023

Optimal Manufacturing Controller Synthesis Using Situation Calculus.

Omar Adalat, Daniele Scrimieri, Savas Konur

Proceedings of the Artificial Intelligence XL, 2023

2022

Model-Based Generation of Manufacturing Process Plans Through Incremental Topology Formation.

Omar Adalat, Muhammad Talal, Mohammed Adem Ali Cherif, Daniele Scrimieri

Proceedings of the Advances in Computational Intelligence Systems, 2022

Efficient Finite Element Mesh Mapping Using Octree Indexing.

Omar Adalat, Daniele Scrimieri

Proceedings of the Advances in Computational Intelligence Systems, 2022

Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets.

Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective.

Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif

Proceedings of the 32nd Conference of Open Innovations Association, 2022

2021

Towards Autonomous Health Monitoring of Rails Using a FEA-ANN Based Approach.

Luke Brown, Shukri M. Afazov, Daniele Scrimieri

Proceedings of the Advances in Computational Intelligence Systems, 2021

2017

Automated experience-based learning for plug and produce assembly systems.

Daniele Scrimieri, Nikolas Antzoulatos, Elkin Castro, Svetan M. Ratchev

Int. J. Prod. Res., 2017

2015

Learning and reuse of engineering ramp-up strategies for modular assembly systems.

Daniele Scrimieri, Robert F. Oates, Svetan M. Ratchev

J. Intell. Manuf., 2015

An in-core grid index for transferring finite element data across dissimilar meshes.

Daniele Scrimieri, Shukri M. Afazov, Svetan M. Ratchev

Adv. Eng. Softw., 2015

2014

A multi-agent architecture for plug and produce on an industrial assembly platform.

Nikolas Antzoulatos, Elkin Castro, Daniele Scrimieri, Svetan M. Ratchev

Prod. Eng., 2014

Fast mapping of finite element field variables between meshes with different densities and element types.

Daniele Scrimieri, Shukri M. Afazov, Adib A. Becker, Svetan M. Ratchev

Adv. Eng. Softw., 2014

An agent based framework to support plug and produce.

André Dionísio Rocha, Giovanni Di Orio, José Barata, Nikolas Antzoulatos, Elkin Castro, Daniele Scrimieri, Svetan M. Ratchev, Luis Ribeiro

Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

A Multi-Agent System Architecture for Self-configuration.

Nikolas Antzoulatos, Elkin Castro, Daniele Scrimieri, Svetan M. Ratchev

Proceedings of the Precision Assembly Technologies and Systems, 2014

2012

Accelerated Ramp-Up of Assembly Systems through Self-learning.

Robert F. Oates, Daniele Scrimieri, Svetan M. Ratchev

Proceedings of the Precision Assembly Technologies and Systems, 2012

2008

Extending C++ Static Computation of Polynomial-Time Algorithms.

Emanuele Covino, Giovanni Pani, Daniele Scrimieri

Proceedings of the 2008 International Conference on Foundations of Computer Science, 2008

2007

Compile-time Computation of Polytime Functions.

Emanuele Covino, Giovanni Pani, Daniele Scrimieri

J. Univers. Comput. Sci., 2007

Static Computation of Polynomial-time Functions in C++.

Emanuele Covino, Giovanni Pani, Daniele Scrimieri

Proceedings of the 2007 International Conference on Foundations of Computer Science, 2007