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Shir Li Wang
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- 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
- 2024
- [c9]Wenjun Yang, Yiqing Shen, Zehong Wang, Rui Zhao, Qitong Lu, Xinsheng Liu, Yungeng Liu, Mérouane Debbah, Yu Guang Wang, Shir Li Wang:
FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering. BIBM 2024: 5409-5417 - 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
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
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
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
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
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
Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector. Sensors 21(19): 6380 (2021) - [c7]Chen ShanWei, Shir Li Wang
A CNN based Handwritten Numeral Recognition Model for Four Arithmetic Operations. KES 2021: 4416-4424 - 2020
- [j7]Shir Li Wang
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
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
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
An Overview on the Application of Self-Adaptive Differential Evolution. ICCMS 2018: 82-86 - 2017
- [j4]Shir Li Wang
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
Self-adaptive differential evolution based on best and mean schemes. ICCSCE 2015: 287-292 - [c4]Shir Li Wang
Self-adapting approach in parameter tuning for differential evolution. TAAI 2015: 113-119 - 2013
- [j3]Shir Li Wang
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
Neuro-Evolution of Escape Behaviour under High Level of Deception and Noise. RiTA 2012: 671-681 - 2010
- [j2]Shir Li Wang
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
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
Robustness of neural ensembles against targeted and random Adversarial Learning. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2007
- [c1]Shir Li Wang
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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