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2020 – today
- 2023
[c4]Yuwei Wan, Zheyuan Chen
, Ying Liu, Michael Packianather, Rui Wang:
Constructing Industrial Knowledge Graph Through Ontology and Link Prediction. CASE 2023: 1-6- [c3]Shahd Hejazi, Michael Packianather, Ying Liu:
A Novel approach using WGAN-GP and Conditional WGAN-GP for Generating Artificial Thermal Images of Induction Motor Faults. KES 2023: 3681-3691 - 2022
- [j2]Nawaf Mohammad H. Alamri, Michael Packianather, Samuel Bigot:
Deep Learning: Parameter Optimization Using Proposed Novel Hybrid Bees Bayesian Convolutional Neural Network. Appl. Artif. Intell. 36(1) (2022) - 2021
- [j1]Zheyuan Chen, Ying Liu, Agustin Valera-Medina, Fiona Robinson, Michael Packianather:
Multi-faceted modelling for strip breakage in cold rolling using machine learning. Int. J. Prod. Res. 59(21): 6347-6360 (2021) - [c2]Yuwei Wan, Zhenyuan Chen, Fu Hu, Ying Liu, Michael Packianather, Rui Wang:
Exploiting Knowledge Graph for Multi-faceted Conceptual Modelling using GCN. ISM 2021: 1174-1183
2010 – 2019
- 2018
- [c1]Clara-Larissa Lorenz, Achim Benjamin Spaeth, Bleil De Souza, Michael Packianather:
Input Feature Optimization for ANN Models Predicting Daylight in Buildings. EG-ICE 2018
Coauthor Index
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