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ORCIDSai-Ho Ling
Sai Ho Ling – Steve S. H. Ling
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- affiliation: University of Technology Sydney, Centre for Health Technologies, Australia
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2020 – today
- 2024
[j80]Yang An, Johnny Kwok-Wai Wong, Sai Ho Ling
:
Development of real-time brain-computer interface control system for robot. Appl. Soft Comput. 159: 111648 (2024)- [j79]Ammara Mehmood, Muhammad Asif Zahoor Raja, Mahdi Jalili, Sai Ho Ling:
Identification of fractional Hammerstein model for electrical stimulated muscle: An application of fuzzy-weighted differential evolution. Biomed. Signal Process. Control. 87(Part B): 105545 (2024) - [j78]Maximilian Achim Pfeffer, Steve S. H. Ling, Johnny Kwok-Wai Wong:
Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces. Comput. Biol. Medicine 178: 108705 (2024) - [j77]Chen Zhang, Xiangyao Deng, Sai Ho Ling:
Next-Gen Medical Imaging: U-Net Evolution and the Rise of Transformers. Sensors 24(14): 4668 (2024) - [j76]Zixun Huang, Rui Zhao, Frank H. F. Leung, Sunetra Banerjee, Kin-Man Lam, Yong-Ping Zheng, Sai Ho Ling:
Landmark Localization From Medical Images With Generative Distribution Prior. IEEE Trans. Medical Imaging 43(7): 2679-2692 (2024) - [j75]Zahra Namadchian, Afshin Shoeibi, Assef Zare, Juan Manuel Górriz, Hak-Keung Lam, Sai Ho Ling:
Stability Analysis of Dynamic General Type-2 Fuzzy Control System With Uncertainty. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1755-1767 (2024) - [c89]Juan Lyu, Jinpeng Meng, Yu Zhang, Sai Ho Ling, Lin Sun:
Joint Semantic Feature and Optical Flow Learning for Automatic Echocardiography Segmentation. ICIC (7) 2024: 160-171 - [c88]Hao Xie, Zixun Huang, Frank H. F. Leung, Ngai-Fong Law, Yakun Ju, Yong-Ping Zheng, Sai Ho Ling:
SATR: A Structure-Affinity Attention-Based Transformer Encoder for Spine Segmentation. ISBI 2024: 1-5 - 2023
- [j74]Talha Ali Khan, Sai Ho Ling, Arslan A. Rizvi:
Optimisation of electrical Impedance tomography image reconstruction error using heuristic algorithms. Artif. Intell. Rev. 56(12): 15079-15099 (2023) - [j73]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Niloufar Delfan, Yudong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya:
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine 160: 106998 (2023) - [j72]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz:
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion 93: 85-117 (2023) - [j71]Yang An, Hak-Keung Lam, Sai Ho Ling:
Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network. Neural Comput. Appl. 35(16): 12001-12027 (2023) - [j70]Wunna Tun, Johnny Kwok-Wai Wong, Sai-Ho Ling:
Advancing Fault Detection in HVAC Systems: Unifying Gramian Angular Field and 2D Deep Convolutional Neural Networks for Enhanced Performance. Sensors 23(18): 7690 (2023) - [c87]Hao Xie, Zixun Huang, Frank H. F. Leung, Yakun Ju, Yong-Ping Zheng, Sai Ho Ling:
A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment. BIBM 2023: 1567-1574 - [c86]Wunna Tun, Johnny Kwok-Wai Wong, Sai Ho Ling:
An Experimental HVAC Faults Data Generation and Detection Using One-Dimensional Convolutional Neural Networks. CASE 2023: 1-6 - [c85]Yang An, Johnny Kwok-Wai Wong, Sai Ho Ling:
An EEG-based brain-computer interface for real-time multi-task robotic control. EMBC 2023: 1-4 - 2022
- [j69]Fuyun He, M. A. Parvez Mahmud, Abbas Z. Kouzani, Adnan Anwar, Frank Jiang, Sai Ho Ling:
An Improved SLIC Algorithm for Segmentation of Microscopic Cell Images. Biomed. Signal Process. Control. 73: 103464 (2022) - [j68]Muneer M. Al-Zu'bi, Ananda Sanagavarapu Mohan, Peter W. Plapper, Sai Ho Ling:
Intrabody Molecular Communication via Blood-Tissue Barrier for Internet of Bio-Nano Things. IEEE Internet Things J. 9(21): 21802-21810 (2022) - [j67]Yang An, Hak-Keung Lam, Sai Ho Ling:
Auto-Denoising for EEG Signals Using Generative Adversarial Network. Sensors 22(5): 1750 (2022) - [j66]Xilin Li, Frank H. F. Leung, Steven W. Su, Sai Ho Ling:
Sleep Apnea Detection Using Multi-Error-Reduction Classification System with Multiple Bio-Signals. Sensors 22(15): 5560 (2022) - [j65]Zixun Huang, Rui Zhao, Frank H. F. Leung, Sunetra Banerjee, Timothy Tin-Yan Lee, De Yang, Daniel Pak-Kong Lun, Kin-Man Lam, Yong-Ping Zheng, Sai Ho Ling:
Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing. IEEE Trans. Medical Imaging 41(7): 1610-1624 (2022) - [j64]Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Ram Bilas Pachori, Ali Khadem, Roohallah Alizadehsani, Sai Ho Ling:
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works. WIREs Data Mining Knowl. Discov. 12(6) (2022) - [c84]Yang An, Sang Hun Han, Sai Ho Ling:
Multi-classification for EEG Motor Imagery Signals using Auto-selected Filter Bank Regularized Common Spatial Pattern. ISMICT 2022: 1-6 - [i8]Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya:
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR abs/2206.11233 (2022) - [i7]Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny:
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR abs/2210.14611 (2022) - [i6]Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya:
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR abs/2210.14909 (2022) - [i5]Yujiao Wu, Yaxiong Wang, Xiaoshui Huang, Fan Yang, Sai Ho Ling, Steven Weidong Su:
Multimodal Learning for Non-small Cell Lung Cancer Prognosis. CoRR abs/2211.03280 (2022) - 2021
- [j63]H. M. Mohan, S. Anitha, Rifai Chai, Sai Ho Ling:
Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano. Adv. Hum. Comput. Interact. 2021: 6483003:1-6483003:19 (2021) - [j62]Anil Kumar Budati, Steve S. H. Ling:
Guest editorial: Machine Learning in Wireless Networks. CAAI Trans. Intell. Technol. 6(2): 133-134 (2021) - [j61]Juan Lyu, Sai-Ho Ling, Sunetra Banerjee, J. Y. Zheng, Ka-Lee Lai, De Yang, Yong-Ping Zheng, Xiaojun Bi, Steven W. Su, Uphar Chamoli:
Ultrasound volume projection image quality selection by ranking from convolutional RankNet. Comput. Medical Imaging Graph. 89: 101847 (2021) - [j60]Fuyun He, Xiaoming Huang, Xun Wang, Senhui Qiu, Frank Jiang, Sai-Ho Ling:
A neuron image segmentation method based Deep Boltzmann Machine and CV model. Comput. Medical Imaging Graph. 89: 101871 (2021) - [j59]Juan Lyu, Xiaojun Bi, Sunetra Banerjee, Zixun Huang, Frank H. F. Leung, Timothy Tin-Yan Lee, De Yang, Yong-Ping Zheng, Sai-Ho Ling:
Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization. Comput. Medical Imaging Graph. 89: 101896 (2021) - [j58]Talha Ali Khan, Sai-Ho Ling:
A novel hybrid gravitational search particle swarm optimization algorithm. Eng. Appl. Artif. Intell. 102: 104263 (2021) - [j57]Budati Anil Kumar, Sai Ho Ling, Peter Ho Chiung Ching, Shuichi Torii:
Guest Editorial: Artificial-intelligence-based network security and computing technologies in wireless networks. IET Networks 10(3): 101-102 (2021) - [j56]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [j55]Wunna Tun, Johnny Kwok-Wai Wong, Sai-Ho Ling:
Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis. Sensors 21(24): 8163 (2021) - [j54]Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Steve S. H. Ling, Steven W. Su:
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. IEEE Trans. Evol. Comput. 25(5): 869-882 (2021) - [c83]Rui Zhao, Zixun Huang, Tianshan Liu, Frank H. F. Leung, Sai Ho Ling, De Yang, Timothy Tin-Yan Lee, Daniel Pak-Kong Lun, Yong-Ping Zheng, Kin-Man Lam:
Structure-Enhanced Attentive Learning For Spine Segmentation From Ultrasound Volume Projection Images. ICASSP 2021: 1195-1199 - [c82]Zixun Huang, Rui Zhao, Frank H. F. Leung, Kin-Man Lam, Sai-Ho Ling, Juan Lyu, Sunetra Banerjee, Timothy Tin-Yan Lee, De Yang, Yong-Ping Zheng:
DA-GAN: Learning Structured Noise Removal In Ultrasound Volume Projection Imaging For Enhanced Spine Segmentation. ISBI 2021: 770-774 - [c81]Yujiao Wu, Jie Ma, Xiaoshui Huang, Sai Ho Ling, Steven Weidong Su:
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis. SMC 2021: 1468-1472 - [i4]Yujiao Wu, Jie Ma, Xiaoshui Huang, Sai-Ho Ling, Steven Weidong Su:
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis. CoRR abs/2106.06744 (2021) - 2020
- [j53]Ammara Mehmood, Aneela Zameer, Sai Ho Ling, Ata ur Rehman, Muhammad Asif Zahoor Raja:
Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming. Neural Comput. Appl. 32(14): 10337-10357 (2020) - [j52]Ammara Mehmood, Aneela Zameer, Naveed Ishtiaq Chaudhary, Sai Ho Ling, Muhammad Asif Zahoor Raja:
Design of meta-heuristic computing paradigms for Hammerstein identification systems in electrically stimulated muscle models. Neural Comput. Appl. 32(16): 12469-12497 (2020) - [j51]Yaozhong Zhang, Wencheng Feng, Guoqing Shi, Frank Jiang, Morshed U. Chowdhury, Sai-Ho Ling:
UAV Swarm Mission Planning in Dynamic Environment Using Consensus-Based Bundle Algorithm. Sensors 20(8): 2307 (2020) - [j50]Juan Lyu, Xiaojun Bi, Sai-Ho Ling:
Multi-Level Cross Residual Network for Lung Nodule Classification. Sensors 20(10): 2837 (2020) - [j49]Xilin Li, Sai-Ho Ling, Steven W. Su:
A Hybrid Feature Selection and Extraction Methods for Sleep Apnea Detection Using Bio-Signals. Sensors 20(15): 4323 (2020) - [c80]Sunetra Banerjee, Sai-Ho Ling, Juan Lyu, Steven W. Su, Yong-Ping Zheng:
Automatic Segmentation of 3D Ultrasound Spine Curvature Using Convolutional Neural Network. EMBC 2020: 2039-2042 - [c79]Md B. Uddin, Chin Moi Chow, Sai-Ho Ling, Steven W. Su:
A Per-sample Digitized Algorithm for Automatically Detecting Apnea and Hypopnea Events from Airflow and Oximetry. EMBC 2020: 5339-5342 - [c78]Zixun Huang, Li-Wen Wang, Frank H. F. Leung, Sunetra Banerjee, De Yang, Timothy Tin-Yan Lee, Juan Lyu, Sai-Ho Ling, Yong-Ping Zheng:
Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise. SMC 2020: 1566-1571 - [i3]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i2]Zixun Huang, Li-Wen Wang, Frank H. F. Leung, Sunetra Banerjee, De Yang, Timothy Tin-Yan Lee, Juan Lyu, Sai-Ho Ling, Yong-Ping Zheng:
Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise. CoRR abs/2010.03740 (2020)
2010 – 2019
- 2019
- [j48]Talha Ali Khan, Sai-Ho Ling:
Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications. Algorithms 12(5): 88 (2019) - [j47]Sai-Ho Ling, Hak-Keung Lam:
Evolutionary Algorithms in Health Technologies. Algorithms 12(10): 202 (2019) - [j46]Yujiao Wu, Taoping Liu, Sai-Ho Ling, Jan Szymanski, Wentian Zhang, Steven Weidong Su:
Air Quality Monitoring for Vulnerable Groups in Residential Environments Using a Multiple Hazard Gas Detector. Sensors 19(2): 362 (2019) - [c77]Rifai Chai, Yvonne Tran, Sai-Ho Ling, Ashley Craig, Hung T. Nguyen:
Combining ICA Clustering and Power Spectral Density for Feature Extraction of Mental Fatigue of Spinal Cord Injury Patients. EMBC 2019: 530-533 - [c76]Sai-Ho Ling, Henry Makgawinata, Fernando Huerta Monsivais, Andre dos Santos Goncalves Lourenco, Juan Lyu, Rifai Chai:
Classification of EEG Motor Imagery Tasks Using Convolution Neural Networks. EMBC 2019: 758-761 - [c75]Muneer M. Al-Zu'bi, Ananda Sanagavarapu Mohan, Steve S. H. Ling:
Influence of Tissue Anisotropy on Molecular Communication. EMBC 2019: 2921-2924 - [c74]Juan Lyu, Sai-Ho Ling, Sunetra Banerjee, Jenny J. Y. Zheng, Ka-Lee Lai, De Yang, Yong-Ping Zheng, Steven W. Su:
3D Ultrasound Spine Image Selection Using Convolution Learning-to-Rank Algorithm. EMBC 2019: 4799-4802 - [c73]Yang An, Tianren Hu, Jiaqi Wang, Juan Lyu, Sunetra Banerjee, Sai-Ho Ling:
Lung Nodule Classification using A Novel Two-stage Convolutional Neural Networks Structure'. EMBC 2019: 6259-6262 - [c72]Talha Ali Khan, Sai-Ho Ling, Ananda Sanagavarapu Mohan:
Advanced Gravitational Search Algorithm with Modified Exploitation Strategy. SMC 2019: 1056-1061 - [c71]Talha Ali Khan, Khawaja Zain-Ul-Abideen, Sai-Ho Ling:
A Hybrid Advanced PSO-Neural Network System. SMC 2019: 1626-1630 - [i1]Miao Zhang, Huiqi Li, Juan Lyu, Sai-Ho Ling, Steven W. Su:
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization. CoRR abs/1901.00276 (2019) - 2018
- [j45]Ginny Y. Wong, Frank Hung-Fat Leung, Sai-Ho Ling:
A hybrid evolutionary preprocessing method for imbalanced datasets. Inf. Sci. 454-455: 161-177 (2018) - [c70]Long Hao, Sai-Ho Ling, Frank Jiang:
Classification of Cardiovascular Disease via A New SoftMax Model. EMBC 2018: 486-489 - [c69]Juan Lyu, Sai-Ho Ling:
Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images. EMBC 2018: 686-689 - [c68]Xilin Li, Ahmed Al-Ani, Sai-Ho Ling:
Feature Selection for the Detection of Sleep Apnea using Multi-Bio Signals from Overnight Polysomnography. EMBC 2018: 1444-1447 - [c67]Muneer M. Al-Zu'bi, Ananda Sanagavarapu Mohan, Steve S. H. Ling:
Impact of Reactive Obstacle on Molecular Communication between Nanomachines. EMBC 2018: 4468-4471 - [c66]Talha Ali Khan, Sai-Ho Ling, Ananda Sanagavarapu Mohan:
Advanced Particle Swarm Optimization Algorithm with Improved Velocity Update Strategy. SMC 2018: 3944-3949 - 2017
- [j44]Sai-Ho Ling, Phyo Phyo San, Hak-Keung Lam, Hung T. Nguyen:
Hypoglycemia detection: multiple regression-based combinational neural logic approach. Soft Comput. 21(2): 543-553 (2017) - [j43]Rifai Chai, Ganesh R. Naik, Tuan Nghia Nguyen, Sai-Ho Ling, Yvonne Tran, Ashley Craig, Hung T. Nguyen:
Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System. IEEE J. Biomed. Health Informatics 21(3): 715-724 (2017) - [c65]Rifai Chai, Ganesh R. Naik, Sai-Ho Ling, Yvonne Tran, Ashley Craig, Hung T. Nguyen:
Channels selection using independent component analysis and scalp map projection for EEG-based driver fatigue classification. EMBC 2017: 1808-1811 - [c64]Ali H. Al-Fatlawi, Hayder K. Fatlawi, Sai-Ho Ling:
Recognition physical activities with optimal number of wearable sensors using data mining algorithms and deep belief network. EMBC 2017: 2871-2874 - 2016
- [j42]Sai-Ho Ling, Kit Yan Chan, Frank Hung-Fat Leung, Frank Jiang, Hung T. Nguyen:
Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization. Eng. Appl. Artif. Intell. 47: 68-80 (2016) - [j41]Udeme Ekong, Hak-Keung Lam, Bo Xiao, Gaoxiang Ouyang, Hongbin Liu, Kit Yan Chan, Sai-Ho Ling:
Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines. Neurocomputing 199: 66-76 (2016) - [j40]Kit Yan Chan, Sai-Ho Ling:
A forward selection based fuzzy regression for new product development that correlates engineering characteristics with consumer preferences. J. Intell. Fuzzy Syst. 30(3): 1869-1880 (2016) - [c63]Ali H. Al-Fatlawi, Mohammed H. Jabardi, Sai-Ho Ling:
Efficient diagnosis system for Parkinson's disease using deep belief network. CEC 2016: 1324-1330 - [c62]Rifai Chai, Ganesh R. Naik, Tuan Nghia Nguyen, Sai-Ho Ling, Yvonne Tran, Hung T. Nguyen:
Selecting optimal EEG channels for mental tasks classification: An approach using ICA. CEC 2016: 1331-1335 - [c61]Phyo Phyo San, Sai-Ho Ling, Rifai Chai, Yvonne Tran, Ashley Craig, Hung T. Nguyen:
EEG-based driver fatigue detection using hybrid deep generic model. EMBC 2016: 800-803 - [c60]Phyo Phyo San, Sai-Ho Ling, Hung T. Nguyen:
Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes. EMBC 2016: 3503-3506 - [c59]Rifai Chai, Yvonne Tran, Ganesh R. Naik, Tuan Nghia Nguyen, Sai-Ho Ling, Ashley Craig, Hung T. Nguyen:
Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network. EMBC 2016: 4654-4657 - [c58]Ginny Y. Wong, Frank Hung-Fat Leung, Steve S. H. Ling:
Identification of protein-ligand binding site using multi-clustering and Support Vector Machine. IECON 2016: 939-944 - [c57]Ramasamy Savitha, Kit Yan Chan, Phyo Phyo San, Sai-Ho Ling, Suresh Sundaram:
A hybrid Deep Boltzmann Functional Link Network for classification problems. SSCI 2016: 1-6 - 2015
- [j39]Hak-Keung Lam, Udeme Ekong, Bo Xiao, Gaoxiang Ouyang, Hongbin Liu, Kit Yan Chan, Sai-Ho Ling:
Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications. Neurocomputing 149: 1177-1187 (2015) - [j38]Kit Yan Chan, Hak-Keung Lam, Tharam S. Dillon, Sai-Ho Ling:
A Stepwise-Based Fuzzy Regression Procedure for Developing Customer Preference Models in New Product Development. IEEE Trans. Fuzzy Syst. 23(5): 1728-1745 (2015) - [c56]Rifai Chai, Ganesh R. Naik, Yvonne Tran, Sai-Ho Ling, Ashley Craig, Hung T. Nguyen:
Classification of driver fatigue in an electroencephalography-based countermeasure system with source separation module. EMBC 2015: 514-517 - [c55]Rifai Chai, Mitchell R. Smith, Tuan Nghia Nguyen, Sai-Ho Ling, Aaron J. Coutts, Hung T. Nguyen:
Comparing features extractors in EEG-based cognitive fatigue detection of demanding computer tasks. EMBC 2015: 7594-7597 - 2014
- [j37]Kit Yan Chan, Sai-Ho Ling, Tharam S. Dillon, Hung T. Nguyen, Tuan Nghia Nguyen, Vasile Palade, Xue-wen Chen:
Editorial: Special issue on hybrid intelligent methods for health technologies. Appl. Soft Comput. 14: 1-3 (2014) - [j36]Sai-Ho Ling, Kit Yan Chan, Vasile Palade, Tharam S. Dillon, Hung T. Nguyen, Tuan Nghia Nguyen, Xue-wen Chen:
Editorial: Special issue on hybrid intelligent methods for health technologies. Appl. Soft Comput. 20: 1-3 (2014) - [j35]Johnny C. Y. Lai, Frank Hung-Fat Leung, Steve S. H. Ling:
Hypoglycaemia detection using fuzzy inference system with intelligent optimiser. Appl. Soft Comput. 20: 54-65 (2014) - [j34]Steve S. H. Ling, Phyo Phyo San, Kit Yan Chan, Frank H. F. Leung, Y. Liu:
An intelligent swarm based-wavelet neural network for affective mobile phone design. Neurocomputing 142: 30-38 (2014) - [j33]Hak-Keung Lam, Udeme Ekong, Hongbin Liu, Bo Xiao, Hugo Araújo, Sai-Ho Ling, Kit Yan Chan:
A study of neural-network-based classifiers for material classification. Neurocomputing 144: 367-377 (2014) - [j32]Phyo Phyo San, Sai-Ho Ling, Nuryani, Hung T. Nguyen:
Evolvable Rough-Block-Based Neural Network and its Biomedical Application to Hypoglycemia Detection System. IEEE Trans. Cybern. 44(8): 1338-1349 (2014) - [j31]Rifai Chai, Sai-Ho Ling, Gregory P. Hunter, Yvonne Tran, Hung T. Nguyen:
Brain-Computer Interface Classifier for Wheelchair Commands Using Neural Network With Fuzzy Particle Swarm Optimization. IEEE J. Biomed. Health Informatics 18(5): 1614-1624 (2014) - [c54]Sai-Ho Ling, Phyo Phyo San, Hak-Keung Lam, Hung T. Nguyen:
Non-invasive detection of hypoglycemic episodes in Type 1 diabetes using intelligent hybrid rough neural system. IEEE Congress on Evolutionary Computation 2014: 1238-1242 - [c53]Phyo Phyo San, Sai-Ho Ling, Soe Ni Ni, Hung T. Nguyen:
A novel extreme learning machine for hypoglycemia detection. EMBC 2014: 302-305 - [c52]Rifai Chai, Yvonne Tran, Ashley Craig, Sai-Ho Ling, Hung T. Nguyen:
Enhancing accuracy of mental fatigue classification using advanced computational intelligence in an electroencephalography system. EMBC 2014: 1338-1341 - [c51]Ginny Y. Wong, Frank H. F. Leung, Sai-Ho Ling:
An under-sampling method based on fuzzy logic for large imbalanced dataset. FUZZ-IEEE 2014: 1248-1252 - [c50]Chuang Liu, Hak-Keung Lam, Xian Zhang, Hongyi Li, Sai-Ho Ling:
Relaxed stability conditions based on Taylor series membership functions for polynomial fuzzy-model-based control systems. FUZZ-IEEE 2014: 2111-2118 - [c49]Sai-Ho Ling, Frank Jiang:
Application on self-provisioning of communication network service using fuzzy particle swarm optimization. ICARCV 2014: 1245-1250 - 2013
- [j30]Kit Yan Chan, Tharam S. Dillon, Hak-Keung Lam, Sai-Ho Ling, Hung T. Nguyen:
Editorial: Special issue on hybrid evolutionary systems for manufacturing processes. Appl. Soft Comput. 13(3): 1329-1331 (2013) - [j29]Johnny C. Y. Lai, Frank H. F. Leung, Steve S. H. Ling, Hung T. Nguyen:
Hypoglycaemia detection using fuzzy inference system with multi-objective double wavelet mutation Differential Evolution. Appl. Soft Comput. 13(5): 2803-2811 (2013) - [j28]Phyo Phyo San, Sai-Ho Ling, Hung T. Nguyen:
Hybrid PSO-based variable translation wavelet neural network and its application to hypoglycemia detection system. Neural Comput. Appl. 23(7-8): 2177-2184 (2013) - [j27]Ginny Y. Wong, Frank Hung-Fat Leung, Sai-Ho Ling:
Predicting Protein-Ligand Binding Site Using Support Vector Machine with Protein Properties. IEEE ACM Trans. Comput. Biol. Bioinform. 10(6): 1517-1529 (2013) - [j26]Phyo Phyo San, Sai-Ho Ling, Hung T. Nguyen:
Industrial Application of Evolvable Block-Based Neural Network to Hypoglycemia Monitoring System. IEEE Trans. Ind. Electron. 60(12): 5892-5901 (2013) - [c48]Rifai Chai, Sai-Ho Ling, Gregory P. Hunter, Yvonne Tran, Hung T. Nguyen:
Classification of wheelchair commands using brain computer interface: comparison between able-bodied persons and patients with tetraplegia. EMBC 2013: 989-992 - [c47]Lien B. Nguyen, Anh V. Nguyen, Sai-Ho Ling, Hung T. Nguyen:
Analyzing EEG signals under insulin-induced hypoglycemia in type 1 diabetes patients. EMBC 2013: 1980-1983 - [c46]Lien B. Nguyen, Anh V. Nguyen, Sai-Ho Ling, Hung T. Nguyen:
Combining genetic algorithm and Levenberg-Marquardt algorithm in training neural network for hypoglycemia detection using EEG signals. EMBC 2013: 5386-5389 - [c45]Ginny Y. Wong, Frank H. F. Leung, Sai-Ho Ling:
A novel evolutionary preprocessing method based on over-sampling and under-sampling for imbalanced datasets. IECON 2013: 2354-2359 - 2012
- [j25]Sai-Ho Ling, Hung T. Nguyen:
Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model. Artif. Intell. Medicine 55(3): 177-184 (2012) - [j24]Steve S. H. Ling, Phyo Phyo San, Hung T. Nguyen, Frank H. F. Leung:
Non-Invasive nocturnal hypoglycemia Detection for insulin-Dependent Diabetes mellitus using Genetic Fuzzy Logic Method. Int. J. Comput. Intell. Appl. 11(4) (2012) - [j23]Kit Yan Chan, Ka Fai Cedric Yiu, Tharam S. Dillon, Sven Nordholm, Sai-Ho Ling:
Enhancement of Speech Recognitions for Control Automation Using an Intelligent Particle Swarm Optimization. IEEE Trans. Ind. Informatics 8(4): 869-879 (2012) - [c44]Kit Yan Chan, Sai-Ho Ling, Hung T. Nguyen, Frank Jiang:
A hypoglycemic episode diagnosis system based on neural networks for Type 1 diabetes mellitus. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c43]Sai-Ho Ling, Hung T. Nguyen, Frank H. F. Leung, Kit Yan Chan, Frank Jiang:
Intelligent fuzzy particle swarm optimization with cross-mutated operation. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c42]Rifai Chai, Sai-Ho Ling, Gregory P. Hunter, Hung T. Nguyen:
Mental task classifications using prefrontal cortex electroencephalograph signals. EMBC 2012: 1831-1834 - [c41]Lien B. Nguyen, Anh V. Nguyen, Sai-Ho Ling, Hung T. Nguyen:
An adaptive strategy of classification for detecting hypoglycemia using only two EEG channels. EMBC 2012: 3515-3518 - [c40]Rifai Chai, Sai-Ho Ling, Gregory P. Hunter, Hung T. Nguyen:
Toward fewer EEG channels and better feature extractor of non-motor imagery mental tasks classification for a wheelchair thought controller. EMBC 2012: 5266-5269 - [c39]Phyo Phyo San, Sai-Ho Ling, Hung T. Nguyen:
Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference system. EMBC 2012: 6325-6328 - [c38]Frank Jiang, Sai-Ho Ling, Kit Yan Chan, Zenon Chaczko, Frank Hung-Fat Leung, Michael R. Frater:
An immunology-inspired multi-engine anomaly detection system with hybrid particle swarm optimisations. FUZZ-IEEE 2012: 1-8 - [c37]Nuryani Nuryani, Sai-Ho Ling, Hung T. Nguyen:
Hybrid particle swarm - based fuzzy support vector machine for hypoglycemia detection. FUZZ-IEEE 2012: 1-6 - [c36]Rifai Chai, Sai-Ho Ling, Gregory P. Hunter, Hung T. Nguyen:
Mental non-motor imagery tasks classifications of brain computer interface for wheelchair commands using genetic algorithm-based neural network. IJCNN 2012: 1-7 - [c35]Lien B. Nguyen, Anh V. Nguyen, Sai-Ho Ling, Hung T. Nguyen:
A particle swarm optimization-based neural network for detecting nocturnal hypoglycemia using electroencephalography signals. IJCNN 2012: 1-6 - [c34]Phyo Phyo San, Sai-Ho Ling, Hung T. Nguyen:
Hybrid particle swarm optimization based normalized radial basis function neural network for hypoglycemia detection. IJCNN 2012: 1-6 - [c33]Ginny Y. Wong, Frank Hung-Fat Leung, Sai-Ho Ling:
Predicting protein-ligand binding site with differential evolution and support vector machine. IJCNN 2012: 1-6 - 2011
- [j22]Kit Yan Chan, Sai-Ho Ling, Tharam Singh Dillon, Hung T. Nguyen:
Diagnosis of hypoglycemic episodes using a neural network based rule discovery system. Expert Syst. Appl. 38(8): 9799-9808 (2011) - [j21]Sai-Ho Ling, Frank Jiang, Hung T. Nguyen, Kit Yan Chan:
Hybrid Fuzzy Logic-Based Particle Swarm Optimization for Flow shop Scheduling Problem. Int. J. Comput. Intell. Appl. 10(3): 335-356 (2011) - [j20]Yiguang Liu, Bingbing Liu, Sai-Ho Ling:
The almost periodic solution of Lotka-Volterra recurrent neural networks with delays. Neurocomputing 74(6): 1062-1068 (2011) - [j19]Sai-Ho Ling, Hak-Keung Lam:
Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions. J. Intell. Learn. Syst. Appl. 3(1): 37-44 (2011) - [j18]Sai-Ho Ling, Hung T. Nguyen:
Genetic-Algorithm-Based Multiple Regression With Fuzzy Inference System for Detection of Nocturnal Hypoglycemic Episodes. IEEE Trans. Inf. Technol. Biomed. 15(2): 308-315 (2011) - [c32]Lien B. Nguyen, Steve S. H. Ling, Timothy W. Jones, Hung T. Nguyen:
Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signals. EMBC 2011: 2760-2763 - [c31]Phyo Phyo San, Sai-Ho Ling, Hung T. Nguyen:
Block based neural network for hypoglycemia detection. EMBC 2011: 5666-5669 - [c30]Sai-Ho Ling, Frank Jiang, Hung T. Nguyen, Kit Yan Chan:
Permutation flow shop scheduling: Fuzzy particle swarm optimization approach. FUZZ-IEEE 2011: 572-578 - [c29]Johnny C. Y. Lai, Frank H. F. Leung, Sai-Ho Ling, Edwin Chao Shi:
Economic load dispatch using intelligent optimization with fuzzy control. FUZZ-IEEE 2011: 2219-2224 - [c28]Sai-Ho Ling, Hung T. Nguyen, Frank Hung-Fat Leung:
Hypoglycemia detection using fuzzy inference system with genetic algorithm. FUZZ-IEEE 2011: 2225-2231 - [c27]Frank Jiang, Michael R. Frater, Steve S. H. Ling:
A distributed smart routing scheme for terrestrial sensor networks with hybrid Neural Rough Sets. FUZZ-IEEE 2011: 2238-2244 - [c26]Kit Yan Chan, Steve S. H. Ling, Tharam Singh Dillon, C. K. Kwong:
Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks. FUZZ-IEEE 2011: 2253-2260 - [c25]Kit Yan Chan, Steve S. H. Ling, Tharam Singh Dillon, C. K. Kwong:
Manufacturing modeling using an evolutionary fuzzy regression. FUZZ-IEEE 2011: 2261-2267 - 2010
- [j17]Sai Ho Ling:
A New Neural Network Structure: Node-to-Node-Link Neural Network. J. Intell. Learn. Syst. Appl. 2(1): 1-11 (2010) - [c24]Kit Yan Chan, Sai-Ho Ling, Tharam Singh Dillon, Hung T. Nguyen:
Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c23]Kit Yan Chan, Hailong Zhu, Ching Lau, Tharam Singh Dillon, Sai-Ho Ling:
Determination of chemo-responses for osteosarcoma using a hybrid evolutionary algorithm. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c22]Johnny C. Y. Lai, Frank H. F. Leung, Sai-Ho Ling:
A New Differential Evolution with self-terminating ability using fuzzy control and k-nearest neighbors. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c21]Johnny C. Y. Lai, Frank H. F. Leung, Sai-Ho Ling:
Economic Load Dispatch using Differential Evolution with double wavelet mutation operations. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c20]Sai-Ho Ling, Hung T. Nguyen, Kit Yan Chan:
Genetic algorithm based fuzzy multiple regression for the nocturnal Hypoglycaemia detection. IEEE Congress on Evolutionary Computation 2010: 1-6
2000 – 2009
- 2009
- [c19]Johnny C. Y. Lai, Frank H. F. Leung, Sai-Ho Ling:
A new Differential Evolution with wavelet theory based mutation operation. IEEE Congress on Evolutionary Computation 2009: 1116-1122 - [c18]Chun Wan Yeung, Frank H. F. Leung, Kit Yan Chan, Sai-Ho Ling:
An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction. IJCNN 2009: 3450-3456 - [c17]Kit Yan Chan, Siow Yong Low, Sven Nordholm, Ka Fai Cedric Yiu, Sai-Ho Ling:
Speech Recognition Enhancement Using Beamforming and a Genetic Algorithm. NSS 2009: 510-515 - [c16]Sai-Ho Ling, Hung T. Nguyen, Kit Yan Chan:
A New Particle Swarm Optimization Algorithm for Neural Network Optimization. NSS 2009: 516-521 - 2008
- [j16]Kit Yan Chan, Terence C. Fogarty, Mehmet Emin Aydin, Sai-Ho Ling, Herbert H. C. Iu:
Genetic Algorithms with Dynamic Mutation Rates and their Industrial Applications. Int. J. Comput. Intell. Appl. 7(2): 103-128 (2008) - [j15]Frank H. F. Leung, Sai-Ho Ling, Hak-Keung Lam:
An Improved Genetic-Algorithm-Based Neural-Tuned Neural Network. Int. J. Comput. Intell. Appl. 7(4): 469-492 (2008) - [j14]Hak-Keung Lam, Bingo Wing-Kuen Ling, Herbert Ho-Ching Iu, Steve S. H. Ling:
Synchronization of Chaotic Systems Using Time-Delayed Fuzzy State-Feedback Controller. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(3): 893-903 (2008) - [j13]Sai-Ho Ling, Herbert Ho-Ching Iu, Frank Hung-Fat Leung, Kit Yan Chan:
Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging. IEEE Trans. Ind. Electron. 55(9): 3447-3460 (2008) - [j12]Sai-Ho Ling, Herbert H. C. Iu, Kit Yan Chan, Hak-Keung Lam, Chun Wan Yeung, Frank H. F. Leung:
Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications. IEEE Trans. Syst. Man Cybern. Part B 38(3): 743-763 (2008) - [c15]Kit Yan Chan, H. L. Zhu, C. C. Lau, Sai-Ho Ling:
Gene signature selection for cancer prediction using an integrated approach of genetic algorithm and support vector machine. IEEE Congress on Evolutionary Computation 2008: 217-224 - [c14]Sai-Ho Ling, Herbert H. C. Iu, Frank H. F. Leung, Kit Yan Chan:
Modelling the development of fluid dispensing for electronic packaging: Hybrid Particle Swarm Optimization based-wavelet neural network approach. IJCNN 2008: 98-103 - 2007
- [j11]K. F. Leung, Frank H. F. Leung, Hak-Keung Lam, Sai-Ho Ling:
Application of a modified neural fuzzy network and an improved genetic algorithm to speech recognition. Neural Comput. Appl. 16(4-5): 419-431 (2007) - [j10]Sai-Ho Ling, Frank H. F. Leung:
An Improved Genetic Algorithm with Average-bound Crossover and Wavelet Mutation Operations. Soft Comput. 11(1): 7-31 (2007) - [j9]Sai-Ho Ling, Frank H. F. Leung, Hak-Keung Lam:
Input-dependent neural network trained by real-coded genetic algorithm and its industrial applications. Soft Comput. 11(11): 1033-1052 (2007) - [c13]Hak-Keung Lam, Sai-Ho Ling, Herbert H. C. Iu, Chun Wan Yeung, Frank H. F. Leung:
Control of nonlinear systems with a linear state-feedback controller and a modified neural network tuned by genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 1614-1619 - [c12]Sai-Ho Ling, Chun Wan Yeung, Kit Yan Chan, Herbert H. C. Iu, Frank H. F. Leung:
A new hybrid Particle Swarm Optimization with wavelet theory based mutation operation. IEEE Congress on Evolutionary Computation 2007: 1977-1984 - [c11]Kit Yan Chan, Sai-Ho Ling, K. W. Chan, Herbert H. C. Iu, G. T. Y. Pong:
Solving multi-contingency transient stability constrained optimal power flow problems with an improved GA. IEEE Congress on Evolutionary Computation 2007: 2901-2908 - [c10]Kit Yan Chan, Sai-Ho Ling, Herbert H. C. Iu, C. K. Kwong:
A GA-based data mining approach to process improvement of fluid dispensing for electronic packaging. IEEE Congress on Evolutionary Computation 2007: 4350-4357 - 2006
- [c9]Sai-Ho Ling, Frank H. F. Leung, Hak-Keung Lam:
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition. IJCNN 2006: 921-928 - 2005
- [j8]Sai-Ho Ling, Frank H. F. Leung, Lik-Kin Wong, Hak-Keung Lam:
Computational Intelligence Techniques for Home Electric Load Forecasting and Balancing. Int. J. Comput. Intell. Appl. 5(3): 371-392 (2005) - [j7]Sai-Ho Ling, Frank H. F. Leung, Hak-Keung Lam:
An improved genetic algorithm based fuzzy-tuned neural network. Int. J. Neural Syst. 15(6): 457-474 (2005) - 2004
- [j6]Hak-Keung Lam, Sai-Ho Ling, Frank H. F. Leung, Peter Kwong-Shun Tam:
Function estimation using a neural-fuzzy network and an improved genetic algorithm. Int. J. Approx. Reason. 36(3): 243-260 (2004) - [j5]Frank Hung-Fat Leung, Hak-Keung Lam, Sai-Ho Ling, Peter Kwong-Shun Tam:
Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm. IEEE Trans. Ind. Electron. 51(1): 172-182 (2004) - [j4]K. F. Leung, Frank H. F. Leung, Hak-Keung Lam, Steve S. H. Ling:
On interpretation of graffiti digits and characters for eBooks: neural-fuzzy network and genetic algorithm approach. IEEE Trans. Ind. Electron. 51(2): 464-471 (2004) - 2003
- [j3]Sai-Ho Ling, Frank Hung-Fat Leung, Hak-Keung Lam, Yim-Shu Lee, Peter Kwong-Shun Tam:
A novel genetic-algorithm-based neural network for short-term load forecasting. IEEE Trans. Ind. Electron. 50(4): 793-799 (2003) - [j2]Sai-Ho Ling, Frank Hung-Fat Leung, Hak-Keung Lam, Peter Kwong-Shun Tam:
Short-term electric load forecasting based on a neural fuzzy network. IEEE Trans. Ind. Electron. 50(6): 1305-1316 (2003) - [j1]Frank Hung-Fat Leung, Hak-Keung Lam, Sai-Ho Ling, Peter Kwong-Shun Tam:
Tuning of the structure and parameters of a neural network using an improved genetic algorithm. IEEE Trans. Neural Networks 14(1): 79-88 (2003) - [c8]Hak-Keung Lam, Sai-Ho Ling, Frank H. F. Leung, Peter Kwong-Shun Tam, Yim-Shu Lee:
Gain estimation for an AC power line data network transmitter using a neural-fuzzy network and an improved genetic algorithm. FUZZ-IEEE 2003: 167-172 - [c7]Sai-Ho Ling, Hak-Keung Lam, Frank H. F. Leung, Yim-Shu Lee:
A genetic algorithm based fuzzy-tuned neural network. FUZZ-IEEE 2003: 220-225 - 2002
- [c6]Steve S. H. Ling, Hak-Keung Lam, Frank H. F. Leung, Peter Kwong-Shun Tam:
Learning of neural network parameters using a fuzzy genetic algorithm. IEEE Congress on Evolutionary Computation 2002: 1928-1933 - [c5]Hak-Keung Lam, K. F. Leung, Sai-Ho Ling, Frank H. F. Leung, Peter Kwong-Shun Tam:
On interpretation of graffiti digits and commands for eBooks: neural fuzzy network and genetic algorithm approach. FUZZ-IEEE 2002: 443-448 - 2001
- [c4]Sai-Ho Ling, Frank H. F. Leung, Peter Kwong-Shun Tam:
Daily Load Forecasting With a Fuzzy-input-Neural Network in An Intelligent Home. FUZZ-IEEE 2001: 449-452 - [c3]Hak-Keung Lam, Sai-Ho Ling, Frank H. F. Leung, Peter Kwong-Shun Tam:
Optimal and Stable Fuzzy Controllers for Nonlinear Systems Subject to Parameter Uncertainties Using Genetic Algorithm. FUZZ-IEEE 2001: 908-911 - [c2]Sai-Ho Ling, Hak-Keung Lam, Frank H. F. Leung, Peter Kwong-Shun Tam:
A Neural Fuzzy Network With Optimal Number of Rules for Short Term Load Forecasting in An Intelligent Home. FUZZ-IEEE 2001: 1456-1459 - [c1]Hak-Keung Lam, Sai-Ho Ling, K. F. Leung, Frank H. F. Leung:
On Interpretation of Graffitti commands for EBooks Using a Neural Netwrok and An Improved Genetic Algorithm. FUZZ-IEEE 2001: 1464-1467
Coauthor Index
Tharam S. Dillon
aka: Tharam Singh Dillon
aka: Tharam Singh Dillon
Frank H. F. Leung
aka: Frank Hung-Fat Leung
aka: Frank Hung-Fat Leung
[j76] [c88] [c87] [j66] [j65] [j59] [c83] [c82] [c78] [i2] [j45] [j42] [c58] [j35] [j34] [c51] [j29] [j27] [c45] [j24] [c43] [c38] [c33] [c29] [c28] [c22] [c21] [c19] [c18] [j15] [j13] [j12] [c14] [j11] [j10] [j9] [c13] [c12] [c9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Steven W. Su
aka: Steven Weidong Su
aka: Steven Weidong Su
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