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Theam Foo Ng
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2020 – today
- 2023
- [j10]Sajal Saha, Michael B. C. Khoo, Faijun Nahar Mim, Theam Foo Ng, Khai Wah Khaw:
Side sensitive group runs t chart and its application in manufacturing. Commun. Stat. Simul. Comput. 52(9): 4036-4051 (2023) - [j9]Shan Wei Chen, Shir Li Wang, Xiu Zhi Qi, Theam Foo Ng, Haidi Ibrahim:
Convolutional neural network optimized by differential evolution for electrocardiogram classification. Multim. Tools Appl. 82(29): 45811-45837 (2023) - [c7]Nazish Tariq, Shadi Mahmoodi Khaniabadi, Soo Siang Teoh, Shir Li Wang, Theam Foo Ng, Rostam Affendi Hamzah, Zunaina Embong, Haidi Ibrahim:
Literature Survey on Edge Detection-Based Methods for Blood Vessel Segmentation from Retinal Fundus Images. RoViSP 2023: 499-505 - 2022
- [j8]Yuan Lei, Shir Li Wang, Caiyu Su, Theam Foo Ng:
OES-Fed: a federated learning framework in vehicular network based on noise data filtering. PeerJ Comput. Sci. 8: e1101 (2022) - 2021
- [j7]Nazish Tariq, Rostam Affendi Hamzah, Theam Foo Ng, Shir Li Wang, Haidi Ibrahim:
Quality Assessment Methods to Evaluate the Performance of Edge Detection Algorithms for Digital Image: A Systematic Literature Review. IEEE Access 9: 87763-87776 (2021) - [j6]Alexander Ze Hwan Ooi, Zunaina Embong, Aini Ismafairus Abd Hamid, Rafidah Zainon, Shir Li Wang, Theam Foo Ng, Rostam Affendi Hamzah, Soo Siang Teoh, Haidi Ibrahim:
Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector. Sensors 21(19): 6380 (2021) - [c6]Chen ShanWei, Shir Li Wang, Theam Foo Ng, Dzati Athiar Ramli:
A CNN based Handwritten Numeral Recognition Model for Four Arithmetic Operations. KES 2021: 4416-4424 - 2020
- [j5]Shir Li Wang, Farid Morsidi, Theam Foo Ng, Haldi Budiman, Siew Chin Neoh:
Insights into the effects of control parameters and mutation strategy on self-adaptive ensemble-based differential evolution. Inf. Sci. 514: 203-233 (2020)
2010 – 2019
- 2018
- [c5]Sarah Hazwani Adnan, Shir Li Wang, Haidi Ibrahim, Theam Foo Ng:
An Overview on the Application of Self-Adaptive Differential Evolution. ICCMS 2018: 82-86 - 2017
- [j4]Shir Li Wang, Kamran Shafi, Theam Foo Ng, Chris Lokan, Hussein A. Abbass:
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment. IEEE Trans. Emerg. Top. Comput. Intell. 1(1): 27-40 (2017) - 2015
- [c4]Nurul Aini Jamil, Shir Li Wang, Theam Foo Ng:
Self-adaptive differential evolution based on best and mean schemes. ICCSCE 2015: 287-292 - [c3]Shir Li Wang, Theam Foo Ng, Nurul Aini Jamil, Suzani Mohamad-Samuri, Ramlah Mailok, Bahbibi Rahmatullah:
Self-adapting approach in parameter tuning for differential evolution. TAAI 2015: 113-119 - 2014
- [j3]Haidi Ibrahim, Theam Foo Ng:
Introducing MATLAB to Electronic Engineering Undergraduates through Three Weeks Laboratory Sessions. Int. J. Online Eng. 10(2): 10-15 (2014) - 2012
- [b1]Theam Foo Ng:
Fuzzy Feature Interaction and Weighting in Subspace Cluster Analysis. University of New South Wales, Canberra, Australia, 2012 - [j2]Theam Foo Ng, Tuan D. Pham, Xiuping Jia:
Feature interaction in subspace clustering using the Choquet integral. Pattern Recognit. 45(7): 2645-2660 (2012) - [c2]Theam Foo Ng, Xiuping Jia, Tuan D. Pham:
Weighted features for cluster space classificaton of hyperspectral images. WHISPERS 2012: 1-4 - 2010
- [c1]Theam Foo Ng, Tuan D. Pham, Changming Sun:
Automated Feature Weighting in Fuzzy Declustering-based Vector Quantization. ICPR 2010: 686-689
2000 – 2009
- 2008
- [j1]Haidi Ibrahim, Nicholas Sia Pik Kong, Theam Foo Ng:
Simple adaptive median filter for the removal of impulse noise from highly corrupted images. IEEE Trans. Consumer Electron. 54(4): 1920-1927 (2008)
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