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ORCIDShir Li Wang
Person information
- affiliation: Sultan Idris Education University, UPSI, Department of Computing, Faculty of Arts, Computing and Creative Industry, Tanjong Malim, Perak, Malaysia
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2020 – today
- 2023
[j15]Bin Zhang, Bahbibi Rahmatullah
, Shir Li Wang, Haifa Matar Almutairi, Yan Xiao, Xinjuan Liu, Zhaoyan Liu:
A variable dimensional chaotic map-based medical image encryption algorithm with multi-mode. Medical Biol. Eng. Comput. 61(11): 2971-3002 (2023)- [j14]Bin Zhang, Bahbibi Rahmatullah, Shir Li Wang, Zhaoyan Liu:
A plain-image correlative semi-selective medical image encryption algorithm using enhanced 2D-logistic map. Multim. Tools Appl. 82(10): 15735-15762 (2023) - [j13]Bin Zhang, Bahbibi Rahmatullah, Shir Li Wang, A. A. Zaidan, B. B. Zaidan, Penghui Liu:
A review of research on medical image confidentiality related technology coherent taxonomy, motivations, open challenges and recommendations. Multim. Tools Appl. 82(14): 21867-21906 (2023) - [j12]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) - [c8]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
- [j11]Shan Wei Chen, Shir Li Wang, Xiu Zhi Qi, Suzani Mohamad Samuri, Can Yang:
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations. Biomed. Signal Process. Control. 74: 103493 (2022) - [j10]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
- [j9]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) - [j8]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) - [c7]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
- [j7]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
- 2019
- [j6]Mohammed Talal, A. A. Zaidan, B. B. Zaidan, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, M. A. Alsalem, Chen Kim Lim, Kian Lam Tan, W. L. Shir, K. I. Mohammed:
Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review. J. Medical Syst. 43(2): 42:1-42:34 (2019) - 2018
- [j5]A. A. Zaidan, B. B. Zaidan, Qahtan M. Yas, Osamah Shihab Albahri, Ahmed Shihab Albahri, Mussab Alaa, F. M. Jumaah, Mohammed Talal, Kian Lam Tan, W. L. Shir, Chen Kim Lim:
A survey on communication components for IoT-based technologies in smart homes. Telecommun. Syst. 69(1): 1-25 (2018) - [c6]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
- [c5]Nurul Aini Jamil, Shir Li Wang, Theam Foo Ng:
Self-adaptive differential evolution based on best and mean schemes. ICCSCE 2015: 287-292 - [c4]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 - 2013
- [j3]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
An agent-based model to simulate and analyse behaviour under noisy and deceptive information. Adapt. Behav. 21(2): 96-117 (2013) - 2012
- [b1]Shir Li Wang:
Adversarial Learning through Red Teaming: From Data to Behaviour. University of New South Wales, Canberra, Australia, 2012 - [c3]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
Neuro-Evolution of Escape Behaviour under High Level of Deception and Noise. RiTA 2012: 671-681 - 2010
- [j2]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
Adversarial learning: the impact of statistical sample selection techniques on neural ensembles. Evol. Syst. 1(3): 181-197 (2010) - [j1]Chee Peng Lim, Shir Li Wang, Kay Sin Tan, Jose C. Navarro, Lakhmi C. Jain:
Use of the circle segments visualization technique for neural network feature selection and analysis. Neurocomputing 73(4-6): 613-621 (2010) - [c2]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
Robustness of neural ensembles against targeted and random Adversarial Learning. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2007
- [c1]Shir Li Wang, Chen Change Loy, Chee Peng Lim, Weng-Kin Lai, Kay Sin Tan:
Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification. ICONIP (1) 2007: 625-634
Coauthor Index
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