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David Tormey
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2020 – today
- 2024
- [i4]Mandana Kariminejad, David Tormey, Caitríona Ryan, Christopher O'Hara
, Albert Weinert, Marion McAfee:
Single and Multi-Objective Real-Time Optimisation of an Industrial Injection Moulding Process via a Bayesian Adaptive Design of Experiment Approach. CoRR abs/2402.12077 (2024) - [i3]Mandana Kariminejad, David Tormey, Marion McAfee:
Model-based pressure tracking using a feedback linearisation technique in thermoplastic injection moulding. CoRR abs/2403.04388 (2024) - 2023
- [j9]Hamail Ayaz, Hanieh Khosravi, Ian McLoughlin
A random graph-based neural network approach to assess glioblastoma progression from perfusion MRI. Biomed. Signal Process. Control. 86(Part C): 105286 (2023) - [j8]Albert Weinert
Condition Monitoring of Additively Manufactured Injection Mould Tooling: A Review of Demands, Opportunities and Potential Strategies. Sensors 23(4): 2313 (2023) - [c9]Mandana Kariminejad, David Tormey, Christopher O'Hara
Prediction of Hotspots in Injection Moulding by Using Simulation, In-Mould Sensors, and Machine Learning. CoDIT 2023: 309-314 - [i2]Mandana Kariminejad, David Tormey
Optimization of a Commercial Injection-Moulded component by Using DOE and Simulation. CoRR abs/2301.11620 (2023) - 2022
- [j7]Mohamed Awad, Konrad Mulrennan
A constraint programming model for makespan minimisation in batch manufacturing pharmaceutical facilities. Comput. Chem. Eng. 156: 107565 (2022) - [c8]Hamail Ayaz, David Tormey
Hyperspectral Brain Tissue Classification using a Fast and Compact 3D CNN Approach. IPAS 2022: 1-4 - [i1]Mandana Kariminejad, David Tormey, Saif Huq, Jim Morrison, Marion McAfee:
Comparison of Intelligent Approaches for Cycle Time Prediction in Injection Moulding of a Medical Device Product. CoRR abs/2202.01507 (2022) - 2021
- [j6]Mandana Kariminejad
Ultrasound Sensors for Process Monitoring in Injection Moulding. Sensors 21(15): 5193 (2021) - [c7]Hamail Ayaz
A Hybrid Deep Model for Brain Tumor Classification. MICAD 2021: 282-291 - [c6]Mandana Kariminejad
Comparison of Intelligent Approaches for Cycle Time Prediction in Injection Moulding of a Medical Device Product. RTSI 2021: 267-272 - 2020
- [j5]Konrad Mulrennan
Modelling the electrical energy profile of a batch manufacturing pharmaceutical facility. Int. J. Data Sci. Anal. 10(3): 285-300 (2020) - [j4]Saritha Unnikrishnan
An Integrated Histogram-Based Vision and Machine-Learning Classification Model for Industrial Emulsion Processing. IEEE Trans. Ind. Informatics 16(9): 5948-5955 (2020)
2010 – 2019
- 2018
- [c5]Konrad Mulrennan
A Data Science Approach to Modelling a Manufacturing Facility's Electrical Energy Profile from Plant Production Data. DSAA 2018: 387-391 - [c4]Saritha Unnikrishnan, John Donovan, Russell Macpherson
Machine vision for the quality assessment of emulsions in pharmaceutical processing. UV 2018: 1-6 - 2014
- [j3]Linda Ryan
Cultural Barriers to the Transition from Product to Product Service in the Medical Device Industry. Int. J. Serv. Sci. Manag. Eng. Technol. 5(2): 36-50 (2014) - 2013
- [j2]Ingrid Hunt
Educational programmes for future employability of graduates in SMEs. J. Intell. Manuf. 24(3): 501-510 (2013) - 2011
- [c3]Linda Ryan
Comparison of Research Based vs. Industry Developed PSS Models. IESS 2011: 216-226
2000 – 2009
- 2006
- [j1]Ovidiu Chira, Camelia Chira
An agent-based approach to knowledge management in distributed design. J. Intell. Manuf. 17(6): 737-750 (2006) - 2003
- [c2]Ovidiu Chira, Camelia Chira
A Multi-agent Architecture for Distributed Design. HoloMAS 2003: 213-224 - [c1]Ovidiu Chira, Camelia Chira, Thomas Roche, David Tormey, Attracta Brennan:
An agent-based approach to knowledge management in distributed design. CE 2003: 111-119
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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