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2020 – today
- 2020
[j4]Mahardhika Pratama
, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, Edwin Lughofer:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. IEEE Trans. Cybern. 50(2): 664-677 (2020)- [c3]Chien Trung Vo, Minh Ngoc Dinh, Eric Dimla:
Predicting Phase-field Behavior of Brittle Fracture Model based on LSTM Time Series Forecasting Model. RIVF 2020: 1-6
2010 – 2019
- 2019
- [j3]Laith Farhan, Omprakash Kaiwartya, Laith Alzubaidi, Waled Gheth, Eric Dimla, Rupak Kharel:
Toward Interference Aware IoT Framework: Energy and Geo-Location-Based-Modeling. IEEE Access 7: 56617-56630 (2019) - [j2]Eric Dimla:
Artificial Neural Networks: A Manufacturing Engineering Perspective and Case Study Review. J. Commun. 14(8): 636-646 (2019) - [j1]Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer:
Metacognitive learning approach for online tool condition monitoring. J. Intell. Manuf. 30(4): 1717-1737 (2019) - [c2]Hong-Phuong Tran, Andrew Smith, Eric Dimla:
Offline Handwritten Text Recognition using Convolutional Recurrent Neural Network. ACOMP 2019: 51-56 - [c1]Sachintha Balasooriya, Ilya Kavalchuk, Eric Dimla:
Innovative Path Planning Algorithm for an Autonomous Robot with Low Computational Cost. ACOMP 2019: 152-157 - 2017
- [i2]Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer:
Metacognitive Learning Approach for Online Tool Condition Monitoring. CoRR abs/1705.02477 (2017) - [i1]Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. CoRR abs/1711.01843 (2017)
Coauthor Index
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