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Marion McAfee
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2020 – today
- 2024
- [j6]Gangani Dharmarathne, Madhusha Bogahawaththa, Marion McAfee, Upaka Rathnayake, D. P. P. Meddage:
On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence. Intell. Syst. Appl. 22: 200397 (2024) - [i5]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) - [i4]Mahmoud Tahmasebi, Saif Huq, Kevin Meehan
, Marion McAfee:
DCVSMNet: Double Cost Volume Stereo Matching Network. CoRR abs/2402.16473 (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
- [j5]Albert Weinert
, David Tormey
, Christopher O'Hara
, Marion McAfee
:
Condition Monitoring of Additively Manufactured Injection Mould Tooling: A Review of Demands, Opportunities and Potential Strategies. Sensors 23(4): 2313 (2023) - [j4]Khurram Riaz
, Marion McAfee
, Salem S. Gharbia
:
Management of Climate Resilience: Exploring the Potential of Digital Twin Technology, 3D City Modelling, and Early Warning Systems. Sensors 23(5): 2659 (2023) - [c11]Jack McShane
, Marion McAfee
, Eoghan Furey
, Kevin Meehan
:
RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers. AICS 2023: 1-6 - [c10]Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia
:
Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency. AICS 2023: 1-4 - [c9]Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia
:
Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine. AICS 2023: 1-6 - [c8]Ramen Ghosh, Mahmoud Tahmasebi, Marion McAfee:
Dynamic Mode Decomposition and Koopman Operator for Iterated Function Systems. CoDIT 2023: 305-308 - [c7]Mandana Kariminejad, David Tormey, Christopher O'Hara
, Marion McAfee:
Prediction of Hotspots in Injection Moulding by Using Simulation, In-Mould Sensors, and Machine Learning. CoDIT 2023: 309-314 - [c6]Zainab Saleem
, Philip Long, Saif Huq, Marion McAfee:
Obstacle detection by multi-sensor fusion of a laser scanner and depth camera. ICCMA 2023: 13-18 - [i2]Mandana Kariminejad, David Tormey
, Saif Huq, Jim Morrison, Jeff Redmond, Carlos Souto, Marion McAfee:
Optimization of a Commercial Injection-Moulded component by Using DOE and Simulation. CoRR abs/2301.11620 (2023) - 2022
- [j3]Konrad Mulrennan
, Nimra Munir
, Leo Creedon
, John Donovan
, John G. Lyons
, Marion McAfee
:
NIR-Based Intelligent Sensing of Product Yield Stress for High-Value Bioresorbable Polymer Processing. Sensors 22(8): 2835 (2022) - [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
- [j2]Mandana Kariminejad
, David Tormey
, Saif Huq, Jim Morrison, Marion McAfee
:
Ultrasound Sensors for Process Monitoring in Injection Moulding. Sensors 21(15): 5193 (2021) - [c5]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. RTSI 2021: 267-272 - [c4]Jack McShane, Kevin Meehan
, Eoghan Furey, Marion McAfee:
Classifying Plastic Waste on River Surfaces utilising CNN and Tensorflow. UEMCON 2021: 475-481
2010 – 2019
- 2012
- [j1]Xueqin Amy Liu
, Kang Li, Marion McAfee
, Jing Deng:
Application of nonlinear PCA for fault detection in polymer extrusion processes. Neural Comput. Appl. 21(6): 1141-1148 (2012) - 2010
- [c3]Xueqin Amy Liu, Kang Li, Marion McAfee
, Jing Deng:
'Soft-sensor' for real-time monitoring of melt viscosity in polymer extrusion process. CDC 2010: 3469-3474 - [c2]Xueqin Amy Liu, Kang Li, Marion McAfee
, Jing Deng:
Improved Nonlinear PCA Based on RBF Networks and Principal Curves. LSMS/ICSEE (1) 2010: 7-15 - [c1]Chamil Abeykoon
, Marion McAfee
, Kang Li, Peter J. Martin
, Jing Deng, Adrian L. Kelly
:
Modelling the Effects of Operating Conditions on Motor Power Consumption in Single Screw Extrusion. LSMS/ICSEE (2) 2010: 9-20
Coauthor Index
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last updated on 2024-08-13 21:50 CEST by the dblp team
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