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ORCIDMeng Joo Er
Er Meng Joo
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- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
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2020 – today
- 2024
[j145]Jie Chen, Meng Joo Er:
Dynamic YOLO for small underwater object detection. Artif. Intell. Rev. 57(7): 165 (2024)- [j144]N. Ramesh Babu
, P. Balasubramaniam, Er Meng Joo:
Video encryption via synchronization of a fractional order T-S fuzzy memristive hyperchaotic system. Multim. Tools Appl. 83(9): 26055-26088 (2024) - [j143]Yani Zhang, Meng Joo Er:
Asymmetric Aggregation Network for Accurate Ship Detection in Optical Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j142]Yi Liu, Zhidong Zhou, Hong Sang, Shuanghe Yu, Yan Yan, Meng Joo Er:
Efficient Exploration of Mobile Robot Based on DL-RRT and AP-BO. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j141]Meng Joo Er, Huibin Gong, Yi Liu, Tianhe Liu:
Intelligent Trajectory Tracking and Formation Control of Underactuated Autonomous Underwater Vehicles: A Critical Review. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 543-555 (2024) - [j140]Qiong Chang, Xin Xu, Aolong Zha, Meng Joo Er, Yongqing Sun, Yun Li:
TinyStereo: A Tiny Coarse-to-Fine Framework for Vision-Based Depth Estimation on Embedded GPUs. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 5196-5208 (2024) - 2023
- [j139]Meng Joo Er, Yani Zhang, Jie Chen, Wenxiao Gao:
Ship detection with deep learning: a survey. Artif. Intell. Rev. 56(10): 11825-11865 (2023) - [j138]Meng Joo Er, Zhaojie Ju, Alexander Ferrein:
Editorial. Comput. Intell. 39(4): 530-531 (2023) - [j137]Er Meng Joo, Danilo Pelusi, Shiping Wen:
Guest Editorial - Introduction to the Special Issue on Smart Fuzzy Optimization for Decision-Making in Uncertain Environments. Int. J. Comput. Intell. Appl. 22(1): 2302001:1-2302001:4 (2023) - [j136]Meng Joo Er, Iqbal H. Jebril:
Guest Editorial - Fuzzy Optimization and Algorithms in Autonomous Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31(Supplement-1) (2023) - [j135]Yifan Wang, Hisao Ishibuchi, Meng Joo Er, Jihua Zhu:
Unsupervised multilayer fuzzy neural networks for image clustering. Inf. Sci. 622: 682-709 (2023) - [j134]Meng Joo Er, Jie Chen, Yani Zhang, Wenxiao Gao:
Research Challenges, Recent Advances, and Popular Datasets in Deep Learning-Based Underwater Marine Object Detection: A Review. Sensors 23(4): 1990 (2023) - [j133]Ge Wen, Shaobao Li, Fucai Liu, Xiaoyuan Luo, Meng Joo Er, Mufti Mahmud, Tao Wu:
YOLOv5s-CA: A Modified YOLOv5s Network with Coordinate Attention for Underwater Target Detection. Sensors 23(7): 3367 (2023) - [j132]Xun Ji, Guosong Sun, Meng Joo Er, Zhun Wang:
Adaptive Correction of Landmark for Visual Homing in Mobile Vehicles. IEEE Trans. Intell. Veh. 8(5): 3418-3430 (2023) - [j131]C. Mattuvarkuzhali, P. Balasubramaniam, Meng Joo Er:
Stability Analysis of Neutral Fractional Stochastic Differential Equations Driven by Mixed Brownian Motion and Subfractional Brownian Motion With Applications in the I-Cub Robot. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3377-3388 (2023) - [j130]Huanran Wang, Wu Yang, Dapeng Man, Wei Wang, Jiguang Lv, Meng Joo Er:
A novel cross-network node pair embedding methodology for anchor link prediction. World Wide Web (WWW) 26(5): 2495-2520 (2023) - 2022
- [j129]Xiaozhao Jin, Meng Joo Er:
Cooperative path planning with priority target assignment and collision avoidance guidance for rescue unmanned surface vehicles in a complex ocean environment. Adv. Eng. Informatics 52: 101517 (2022) - [j128]Liran Shen, Meng Joo Er, Weijiang Liu, Yunsheng Fan, Qingbo Yin:
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem. Eng. Appl. Artif. Intell. 111: 104828 (2022) - [j127]Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama:
Efficient stereo matching on embedded GPUs with zero-means cross correlation. J. Syst. Archit. 123: 102366 (2022) - [j126]Liran Shen, Meng Joo Er, Qingbo Yin:
Classification for high-dimension low-sample size data. Pattern Recognit. 130: 108828 (2022) - [j125]Liran Shen, Zhiyuan Ma, Meng Joo Er, Yunsheng Fan, Qingbo Yin:
Blind Adaptive Structure-Preserving Imaging Enhancement for Low-Light Condition. IEEE Signal Process. Lett. 29: 917-921 (2022) - [j124]Deepak Kumar Jain, Yongfu Li, Meng Joo Er, Qin Xin, Deepak Gupta, K. Shankar:
Enabling Unmanned Aerial Vehicle Borne Secure Communication With Classification Framework for Industry 5.0. IEEE Trans. Ind. Informatics 18(8): 5477-5484 (2022) - [j123]Shaobao Li, Feng Wang, Meng Joo Er, Zhenyu Yang:
Approximate Output Regulation of Discrete-Time Stochastic Multiagent Systems Subject to Heterogeneous and Unknown Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6373-6382 (2022) - [i11]Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama:
Efficient stereo matching on embedded GPUs with zero-means cross correlation. CoRR abs/2212.00476 (2022) - 2021
- [j122]Wei Sun, Jhih-Wei Lin, Shun-Feng Su, Ning Wang, Meng Joo Er:
Reduced Adaptive Fuzzy Decoupling Control for Lower Limb Exoskeleton. IEEE Trans. Cybern. 51(3): 1099-1109 (2021) - [j121]Van-Truong Nguyen, Chyi-Yeu Lin, Shun-Feng Su, Wei Sun, Meng Joo Er:
Global Finite Time Active Disturbance Rejection Control for Parallel Manipulators With Unknown Bounded Uncertainties. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7838-7849 (2021) - [c150]Qianying Li, Meng Joo Er, Lin Li:
Composite Trajectory Tracking of a Shipborne Manipulator Based on Full-Order Terminal Sliding Mode Control. CACRE 2021: 249-253 - [c149]Meng Joo Er, Zhongkun Li, Bohua Wang:
Formation Control of Unmanned Surface Vehicles Using Fixed-time Sliding Mode Disturbance Observer. CACRE 2021: 254-258 - [c148]Meng Joo Er, Bohua Wang, Zhongkun Li:
High Performance Energy Tracking Control of Direct-Drive Wave Energy Converters System. CACRE 2021: 264-268 - [c147]Yuhong Zheng, Meng Joo Er, Guanlin Yi, Shiwei Shen:
RepUNet: A Fast Image Semantic Segmentation Model Based on Convolutional Reparameterization of Ship Satellite Images. CACRE 2021: 461-465 - 2020
- [j120]Li Wang, Meng Joo Er, Shi Zhang:
A Kernel Extreme Learning Machines Algorithm for Node Localization in Wireless Sensor Networks. IEEE Commun. Lett. 24(7): 1433-1436 (2020) - [j119]Artur Starczewski, Piotr Goetzen, Meng Joo Er:
A New Method for Automatic Determining of the DBSCAN Parameters. J. Artif. Intell. Soft Comput. Res. 10(3): 209-221 (2020) - [j118]Chao Deng, Meng Joo Er, Guang-Hong Yang, Ning Wang:
Event-Triggered Consensus of Linear Multiagent Systems With Time-Varying Communication Delays. IEEE Trans. Cybern. 50(7): 2916-2925 (2020) - [j117]Dan Liu, Guang-Hong Yang, Meng Joo Er:
Event-Triggered Control for T-S Fuzzy Systems Under Asynchronous Network Communications. IEEE Trans. Fuzzy Syst. 28(2): 390-399 (2020) - [i10]Liran Shen, Meng Joo Er, Qingbo Yin:
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem. CoRR abs/2009.04722 (2020)
2010 – 2019
- 2019
- [j116]Chao Yang, Shiqian Wu, Hongping Fang, Meng Joo Er:
Adaptive Weber-face for robust illumination face recognition. Computing 101(6): 605-619 (2019) - [j115]Meng Joo Er, Chao Deng, Shun-Feng Su, Ning Wang:
Fuzzy Synchronization Control of Complex Dynamical Networks Under Network Attacks and Actuator Faults. Int. J. Fuzzy Syst. 21(7): 2043-2053 (2019) - [j114]Xiaolei Li, Meng Joo Er, Guang-Hong Yang, Ning Wang:
Bearing-based formation manoeuvre control of nonholonomic multi-agent systems. Int. J. Syst. Sci. 50(16): 2993-3002 (2019) - [j113]Zeyuan Xu, Guoxing Yi, Meng Joo Er, Chao Huang:
Effect of Uneven Electrostatic Forces on the Dynamic Characteristics of Capacitive Hemispherical Resonator Gyroscopes. Sensors 19(6): 1291 (2019) - 2018
- [j112]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious random vector functional link network for data streams. Inf. Sci. 430: 519-537 (2018) - [j111]Ning Wang, Jing-Chao Sun, Meng Joo Er:
Tracking-Error-Based Universal Adaptive Fuzzy Control for Output Tracking of Nonlinear Systems with Completely Unknown Dynamics. IEEE Trans. Fuzzy Syst. 26(2): 869-883 (2018) - [j110]Shaobao Li, Meng Joo Er, Jie Zhang:
Distributed Adaptive Fuzzy Control for Output Consensus of Heterogeneous Stochastic Nonlinear Multiagent Systems. IEEE Trans. Fuzzy Syst. 26(3): 1138-1152 (2018) - [j109]Ning Wang, Shun-Feng Su, Jianchuan Yin, Zhongjiu Zheng, Meng Joo Er:
Global Asymptotic Model-Free Trajectory-Independent Tracking Control of an Uncertain Marine Vehicle: An Adaptive Universe-Based Fuzzy Control Approach. IEEE Trans. Fuzzy Syst. 26(3): 1613-1625 (2018) - [j108]Ning Wang, Jing-Chao Sun, Min Han, Zhongjiu Zheng, Meng Joo Er:
Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3747-3760 (2018) - [c146]Meng Joo Er, Chao Deng, Ning Wang:
A Novel Fuzzy Logic Control Method for Multi-Agent Systems with Actuator Faults. FUZZ-IEEE 2018: 1-7 - [c145]Xiaolei Li, Meng Joo Er, Guang-Hong Yang, Ning Wang:
Globally Stable Bearing-Only Formation Control of Multi-Agent Systems. ICARCV 2018: 480-485 - [c144]Chao Deng, Meng Joo Er, Shun-Feng Su:
FLS-Based Fuzzy Synchronization Control of Complex Dynamical Networks Under Network Attacks and Actuator Faults. iFUZZY 2018: 65-70 - 2017
- [j107]Shun-Feng Su, Imre J. Rudas, Jacek M. Zurada, Meng Joo Er, Jyh-Horng Chou, Daeil Kwon:
Industry 4.0: A Special Section in IEEE Access. IEEE Access 5: 12257-12261 (2017) - [j106]Yu Ren, Meng Joo Er, Guanghui Sun:
Constraint admissible state sets for switched systems with average dwell time. Autom. 82: 235-242 (2017) - [j105]Yu Ren, Meng Joo Er, Guanghui Sun:
Switched systems with average dwell time: Computation of the robust positive invariant set. Autom. 85: 306-313 (2017) - [j104]Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu:
A novel online multi-label classifier for high-speed streaming data applications. Evol. Syst. 8(4): 303-315 (2017) - [j103]Wangming Xu, Shiqian Wu, Meng Joo Er, Chaobing Zheng, Yimin Qiu:
New non-negative sparse feature learning approach for content-based image retrieval. IET Image Process. 11(9): 724-733 (2017) - [j102]Mingzuo Jiang, Meng Joo Er, Xuehai Yuan:
Fuzzy Modeling Method Based on Rectangular Pyramid Fuzzy System. Int. J. Fuzzy Syst. 19(6): 1731-1738 (2017) - [j101]Yongping Pan, Meng Joo Er, Tairen Sun, Bin Xu, Haoyong Yu:
Adaptive fuzzy PD control with stable H∞ tracking guarantee. Neurocomputing 237: 71-78 (2017) - [j100]Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim:
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. Neurocomputing 262: 4-27 (2017) - [j99]Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin:
A review of clustering techniques and developments. Neurocomputing 267: 664-681 (2017) - [j98]Shi Zhang, Meng Joo Er, Baihai Zhang, Yashar Naderahmadian:
A novel heuristic algorithm for node localization in anisotropic wireless sensor networks with holes. Signal Process. 138: 27-34 (2017) - [j97]Mahardhika Pratama, Guangquan Zhang, Meng Joo Er, Sreenatha G. Anavatti:
An Incremental Type-2 Meta-Cognitive Extreme Learning Machine. IEEE Trans. Cybern. 47(2): 339-353 (2017) - [j96]Yong Zhang, Meng Joo Er, Rui Zhao, Mahardhika Pratama:
Multiview Convolutional Neural Networks for Multidocument Extractive Summarization. IEEE Trans. Cybern. 47(10): 3230-3242 (2017) - [j95]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er:
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 25(5): 1175-1192 (2017) - [c143]Andrzej Przybyl, Meng Joo Er:
A Method for Design of Hardware Emulators for a Distributed Network Environment. ICAISC (2) 2017: 318-336 - [c142]Marcin Zalasinski, Krzysztof Cpalka, Meng Joo Er:
Stability Evaluation of the Dynamic Signature Partitions Over Time. ICAISC (1) 2017: 733-746 - [c141]Shuailin Lv, Ning Wang, Yong Wang, Jianchuan Yin, Meng Joo Er:
Nonsingular Terminal Sliding Mode Based Trajectory Tracking Control of an Autonomous Surface Vehicle with Finite-Time Convergence. ISNN (2) 2017: 83-92 - [c140]Yong Wang, Ning Wang, Shuailin Lv, Jianchuan Yin, Meng Joo Er:
Fuzzy Uncertainty Observer Based Filtered Sliding Mode Trajectory Tracking Control of the Quadrotor. ISNN (2) 2017: 137-147 - [i9]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious Random Vector Functional Link Network for Data Streams. CoRR abs/1704.02789 (2017) - [i8]Yong Zhang, Hongming Zhou, Nganmeng Tan, Saeed Bagheri, Meng Joo Er:
Targeted Advertising Based on Browsing History. CoRR abs/1711.04498 (2017) - 2016
- [j94]Ning Wang, Jing-Chao Sun, Meng Joo Er:
Global Adaptive Practical Output Tracking Control for a Class of Genuinely Nonlinear Uncertain Systems: Adding an Universal Power Integrator Approach. IEEE Access 4: 10136-10146 (2016) - [j93]Jagendra Singh, Mukesh Prasad, Om Kumar Prasad, Meng Joo Er, Amit Kumar Saxena, Chin-Teng Lin:
A Novel Fuzzy Logic Model for Pseudo-Relevance Feedback-Based Query Expansion. Int. J. Fuzzy Syst. 18(6): 980-989 (2016) - [j92]Yongping Pan, Meng Joo Er, Yiqi Liu, Lin Pan, Haoyong Yu:
Composite Learning Fuzzy Control of Uncertain Nonlinear Systems. Int. J. Fuzzy Syst. 18(6): 990-998 (2016) - [j91]Zhifei Shao, Meng Joo Er:
An online sequential learning algorithm for regularized Extreme Learning Machine. Neurocomputing 173: 778-788 (2016) - [j90]Yong Zhang, Meng Joo Er:
Sequential active learning using meta-cognitive extreme learning machine. Neurocomputing 173: 835-844 (2016) - [j89]Ning Wang, Jing-Chao Sun, Meng Joo Er, Yancheng Liu:
Hybrid recursive least squares algorithm for online sequential identification using data chunks. Neurocomputing 174: 651-660 (2016) - [j88]Zhifei Shao, Meng Joo Er:
Efficient Leave-One-Out Cross-Validation-based Regularized Extreme Learning Machine. Neurocomputing 194: 260-270 (2016) - [j87]Amin Jahromi Torabi, Meng Joo Er, Xiang Li, Beng Siong Lim:
Sequential fuzzy clustering based dynamic fuzzy neural network for fault diagnosis and prognosis. Neurocomputing 196: 31-41 (2016) - [j86]Rajasekar Venkatesan, Meng Joo Er:
A novel progressive learning technique for multi-class classification. Neurocomputing 207: 310-321 (2016) - [j85]Meng Joo Er, Yong Zhang, Ning Wang, Mahardhika Pratama:
Attention pooling-based convolutional neural network for sentence modelling. Inf. Sci. 373: 388-403 (2016) - [j84]Amin Jahromi Torabi, Meng Joo Er, Xiang Li, Beng Siong Lim, Oon Peen Gan:
Application of Clustering Methods for Online Tool Condition Monitoring and Fault Diagnosis in High-Speed Milling Processes. IEEE Syst. J. 10(2): 721-732 (2016) - [j83]Ning Wang, Meng Joo Er:
Direct Adaptive Fuzzy Tracking Control of Marine Vehicles With Fully Unknown Parametric Dynamics and Uncertainties. IEEE Trans. Control. Syst. Technol. 24(5): 1845-1852 (2016) - [j82]Ning Wang, Jing-Chao Sun, Meng Joo Er, Yancheng Liu:
A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles. IEEE Trans. Cybern. 46(5): 1106-1117 (2016) - [j81]Ning Wang, Meng Joo Er, Jing-Chao Sun, Yancheng Liu:
Adaptive Robust Online Constructive Fuzzy Control of a Complex Surface Vehicle System. IEEE Trans. Cybern. 46(7): 1511-1523 (2016) - [j80]Zhifei Shao, Meng Joo Er, Ning Wang:
An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention. IEEE Trans. Cybern. 46(8): 1939-1951 (2016) - [j79]Meng Joo Er, Sayantan Mandal:
A Survey of Adaptive Fuzzy Controllers: Nonlinearities and Classifications. IEEE Trans. Fuzzy Syst. 24(5): 1095-1107 (2016) - [j78]Ning Wang, Shuailin Lv, Meng Joo Er, Wen-Hua Chen:
Fast and Accurate Trajectory Tracking Control of an Autonomous Surface Vehicle With Unmodeled Dynamics and Disturbances. IEEE Trans. Intell. Veh. 1(3): 230-243 (2016) - [c139]Shaobao Li, Meng Joo Er, Ning Wang, Chiang-Ju Chien:
An adaptive output regulation approach for formation control of heterogeneous multi-agent systems. CEC 2016: 1410-1415 - [c138]Andrzej Przybyl, Meng Joo Er:
The Method of Hardware Implementation of Fuzzy Systems on FPGA. ICAISC (1) 2016: 284-298 - [c137]Andrzej Przybyl, Meng Joo Er:
A New Approach to Designing of Intelligent Emulators Working in a Distributed Environment. ICAISC (2) 2016: 546-558 - [c136]Woen Yon Lai, Meng Joo Er, Zhan Cheng Ng, Qi Wei Goh:
Semi-autonomous control of an unmanned aerial vehicle. ICARCV 2016: 1-4 - [c135]Yu Ren, Meng Joo Er:
Asynchronous estimator design for switched systems with overlapped detection delay. ICARCV 2016: 1-6 - [c134]Zhongzhong Liu, Ning Wang, Youtao Zhao, Meng Joo Er, Zhen Li:
Adaptive dynamic surface tracking control of underactuated surface vessels with unknown disturbances. ICARM 2016: 382-387 - [c133]Yong Zhang, Meng Joo Er, Mahardhika Pratama:
Extractive document summarization based on convolutional neural networks. IECON 2016: 918-922 - [c132]Yong Zhang, Meng Joo Er, Rajasekar Venkatesan, Ning Wang, Mahardhika Pratama:
Sentiment classification using Comprehensive Attention Recurrent models. IJCNN 2016: 1562-1569 - [c131]Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu, Mahardhika Pratama:
A novel online real-time classifier for multi-label data streams. IJCNN 2016: 1833-1840 - [c130]Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, J. Wenny Rahayu, Tharam S. Dillon:
Evolving type-2 recurrent fuzzy neural network. IJCNN 2016: 1841-1848 - [c129]Meng Joo Er, Fan Liu, Ning Wang, Yong Zhang, Mahardhika Pratama:
User-Level Twitter Sentiment Analysis with a Hybrid Approach. ISNN 2016: 426-433 - [c128]Meng Joo Er, Vijaya Krishna Yalavarthi, Ning Wang, Rajasekar Venkatesan:
A Novel Incremental Class Learning Technique for Multi-class Classification. ISNN 2016: 474-481 - [c127]Yu Ren, Guanghui Sun, Meng Joo Er:
Asynchronous H∞ stabilization of switched systems with overlapped time-varying detection delays. SMC 2016: 2460-2465 - [c126]Mihika Dave, Sahil Tapiawala, Meng Joo Er, Rajasekar Venkatesan:
A novel progressive multi-label classifier for class-incremental data. SMC 2016: 3589-3593 - [c125]Meng Joo Er, Rajasekar Venkatesan, Ning Wang:
An online universal classifier for binary, multi-class and multi-label classification. SMC 2016: 3701-3706 - [i7]Rajasekar Venkatesan, Meng Joo Er:
Multi-Label Classification Method Based on Extreme Learning Machines. CoRR abs/1608.08435 (2016) - [i6]Meng Joo Er, Rajasekar Venkatesan, Ning Wang:
A High Speed Multi-label Classifier based on Extreme Learning Machines. CoRR abs/1608.08898 (2016) - [i5]Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu, Mahardhika Pratama:
A Novel Online Real-time Classifier for Multi-label Data Streams. CoRR abs/1608.08905 (2016) - [i4]Rajasekar Venkatesan, Meng Joo Er:
A novel progressive learning technique for multi-class classification. CoRR abs/1609.00085 (2016) - [i3]Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu:
A novel online multi-label classifier for high-speed streaming data applications. CoRR abs/1609.00086 (2016) - [i2]Meng Joo Er, Rajasekar Venkatesan, Ning Wang:
An Online Universal Classifier for Binary, Multi-class and Multi-label Classification. CoRR abs/1609.00843 (2016) - [i1]Mihika Dave, Sahil Tapiawala, Meng Joo Er, Rajasekar Venkatesan:
A Novel Progressive Multi-label Classifier for Classincremental Data. CoRR abs/1609.07215 (2016) - 2015
- [j77]Zhifei Shao, Meng Joo Er, Ning Wang:
An effective semi-cross-validation model selection method for extreme learning machine with ridge regression. Neurocomputing 151: 933-942 (2015) - [j76]Jing-Chao Sun, Ning Wang, Meng Joo Er, Yancheng Liu:
Extreme learning control of surface vehicles with unknown dynamics and disturbances. Neurocomputing 167: 535-542 (2015) - [j75]Mukesh Prasad, Yang-Yin Lin, Chin-Teng Lin, Meng Joo Er, Om Kumar Prasad:
A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism. Neurocomputing 167: 558-568 (2015) - [j74]Zhe Tang, Yuancheng Su, Meng Joo Er, Fang Qi, Li Zhang, Jianyong Zhou:
A local binary pattern based texture descriptors for classification of tea leaves. Neurocomputing 168: 1011-1023 (2015) - [j73]Amin Jahromi Torabi, Meng Joo Er, Xiang Li, Beng Siong Lim, Lianyin Zhai, Richard Jayadi Oentaryo, Oon Peen Gan, Jacek M. Zurada:
A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes. IEEE Syst. J. 9(3): 1069-1080 (2015) - [j72]Ning Wang, Meng Joo Er:
Self-Constructing Adaptive Robust Fuzzy Neural Tracking Control of Surface Vehicles With Uncertainties and Unknown Disturbances. IEEE Trans. Control. Syst. Technol. 23(3): 991-1002 (2015) - [j71]Ning Wang, Meng Joo Er, Min Han:
Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks. IEEE Trans. Cybern. 45(12): 2732-2743 (2015) - [j70]Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, Edwin Lughofer:
pClass: An Effective Classifier for Streaming Examples. IEEE Trans. Fuzzy Syst. 23(2): 369-386 (2015) - [j69]Ning Wang, Meng Joo Er, Min Han:
Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 23(5): 1414-1427 (2015) - [j68]Ye Li, Meng Joo Er, Dayong Shen:
A Novel Approach for Vehicle Detection Using an AND-OR-Graph-Based Multiscale Model. IEEE Trans. Intell. Transp. Syst. 16(4): 2284-2289 (2015) - [j67]Ning Wang, Meng Joo Er, Min Han:
Generalized Single-Hidden Layer Feedforward Networks for Regression Problems. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1161-1176 (2015) - [c124]J. Wu, X. Li, S. Xu, Meng Joo Er, L. Wei, W. F. Lu:
Machine learning approach for shaft crack detection through acoustical emission signals. ETFA 2015: 1-7 - [c123]Sayantan Mandal, Meng Joo Er, Yiik Diew Wong, Rajasekar Venkatesan:
A study of experiential learning theory using fuzzy inference system. FUZZ-IEEE 2015: 1-5 - [c122]Marcin Zalasinski, Krzysztof Cpalka, Meng Joo Er:
A New Method for the Dynamic Signature Verification Based on the Stable Partitions of the Signature. ICAISC 2015: 161-174 - [c121]Mukesh Prasad, Meng Joo Er, Chin-Teng Lin, Om Kumar Prasad, Manoranjan Mohanty, Jagendra Singh:
Novel Data Knowledge Representation with TSK-Type Preprocessed Collaborative Fuzzy Rule Based System. SSCI 2015: 14-21 - [c120]Yong Zhang, Meng Joo Er, Rui Zhao:
Multi-Document Extractive Summarization Using Window-Based Sentence Representation. SSCI 2015: 404-410 - 2014
- [j66]Guangpu Huang, Meng Joo Er:
An adaptive neural control scheme for articulatory synthesis of CV sequences. Comput. Speech Lang. 28(1): 163-176 (2014) - [j65]Yongping Pan, Meng Joo Er, Xiang Li, Haoyong Yu, Rafael Gouriveau:
Machine health condition prediction via online dynamic fuzzy neural networks. Eng. Appl. Artif. Intell. 35: 105-113 (2014) - [j64]Richard Jayadi Oentaryo, Meng Joo Er, Linn San, Xiang Li:
Online probabilistic learning for fuzzy inference system. Expert Syst. Appl. 41(11): 5082-5096 (2014) - [j63]Ning Wang, Min Han, Nuo Dong, Meng Joo Er:
Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification. Neurocomputing 128: 59-72 (2014) - [j62]Ning Wang, Meng Joo Er, Min Han:
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1828-1841 (2014) - [j61]Yongping Pan, Haoyong Yu, Meng Joo Er:
Adaptive Neural PD Control With Semiglobal Asymptotic Stabilization Guarantee. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2264-2274 (2014) - [c119]Mahardhika Pratama, Meng Joo Er, Sreenatha G. Anavatti, Edwin Lughofer, Ning Wang, Imam Arifin:
A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems. FUZZ-IEEE 2014: 369-376 - [c118]Marcin Zalasinski, Krzysztof Cpalka, Meng Joo Er:
New Method for Dynamic Signature Verification Using Hybrid Partitioning. ICAISC (2) 2014: 216-230 - [c117]Andrzej Przybyl, Meng Joo Er:
The Idea for the Integration of Neuro-Fuzzy Hardware Emulators with Real-Time Network. ICAISC (1) 2014: 279-294 - [c116]Ying-Chung Wang, Chiang-Ju Chien, Meng Joo Er:
An observer-based adaptive iterative learning controller for MIMO nonlinear systems with delayed output. ICARCV 2014: 157-162 - [c115]Zhifei Shao, Meng Joo Er, Ning Wang:
Robust incremental extreme learning machine. ICARCV 2014: 607-612 - [c114]Yong Zhang, Meng Joo Er, Suresh Sundaram:
Meta-cognitive fuzzy extreme learning machine. ICARCV 2014: 613-618 - [c113]Rajasekar Venkatesan, Meng Joo Er:
Multi-label classification method based on extreme learning machines. ICARCV 2014: 619-624 - [c112]Yiwen Luo, Meng Joo Er, Li Ling Yong, Chiang-Ju Chien:
Intelligent control and navigation of an indoor quad-copter. ICARCV 2014: 1700-1705 - [c111]Meng Joo Er, Zhifei Shao, Ning Wang:
A fast and effective Extreme learning machine algorithm without tuning. IJCNN 2014: 770-777 - 2013
- [j60]Yongping Pan, Yu Zhou, Tairen Sun, Meng Joo Er:
Composite adaptive fuzzy H∞ tracking control of uncertain nonlinear systems. Neurocomputing 99: 15-24 (2013) - [j59]Mahardhika Pratama, Meng Joo Er, Xiang Li, Richard Jayadi Oentaryo, Edwin Lughofer, Imam Arifin:
Data driven modeling based on dynamic parsimonious fuzzy neural network. Neurocomputing 110: 18-28 (2013) - [j58]Yongping Pan, Meng Joo Er:
Enhanced Adaptive Fuzzy Control With Optimal Approximation Error Convergence. IEEE Trans. Fuzzy Syst. 21(6): 1123-1132 (2013) - [c110]Yongping Pan, Rongjun Chen, Hong-Zhou Tan, Meng Joo Er:
Asymptotic stabilization via adaptive fuzzy control. FUZZ-IEEE 2013: 1-5 - [c109]Meng Joo Er, Zhifei Shao, Ning Wang:
A systematic method to guide the choice of ridge parameter in ridge extreme learning machine. ICCA 2013: 852-857 - [c108]Meng Joo Er, Shenghai Yuan, Ning Wang:
Development control and navigation of Octocopter. ICCA 2013: 1639-1643 - [c107]Ning Wang, Min Han, Nuo Dong, Meng Joo Er, Gangjian Liu:
On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems. ISNN (2) 2013: 61-69 - [c106]Ning Wang, Min Han, Guifeng Yu, Meng Joo Er, Fanchao Meng, Shulei Sun:
Generalized Single-Hidden Layer Feedforward Networks. ISNN (1) 2013: 91-98 - [c105]Meng Joo Er, Zhifei Shao, Ning Wang:
A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression. ISNN (1) 2013: 166-173 - 2012
- [j57]S. Muthukaruppan, Meng Joo Er:
A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease. Expert Syst. Appl. 39(14): 11657-11665 (2012) - [j56]Zhifei Shao, Meng Joo Er:
A survey of inverse reinforcement learning techniques. Int. J. Intell. Comput. Cybern. 5(3): 293-311 (2012) - [j55]Fan Liu, Meng Joo Er:
A Novel Efficient Learning Algorithm for Self-Generating Fuzzy Neural Network with Applications. Int. J. Neural Syst. 22(1): 21-35 (2012) - [j54]Zhichao Lian, Meng Joo Er, Yanchun Liang:
A novel efficient local illumination compensation method based on DCT in logarithm domain. Pattern Recognit. Lett. 33(13): 1725-1733 (2012) - [j53]Di Ma, Meng Joo Er, Bang Wang, Hock Beng Lim:
Range-free wireless sensor networks localization based on hop-count quantization. Telecommun. Syst. 50(3): 199-213 (2012) - [c104]Zhifei Shao, Meng Joo Er:
A review of inverse reinforcement learning theory and recent advances. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c103]Meng Joo Er, Piotr Duda:
On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment. ICAISC (1) 2012: 39-46 - [c102]Maciej Jaworski, Meng Joo Er, Lena Pietruczuk:
On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment. ICAISC (1) 2012: 90-98 - [c101]Lena Pietruczuk, Meng Joo Er:
Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise. ICAISC (1) 2012: 152-159 - [c100]Zhifei Shao, Meng Joo Er, Guang-Bin Huang:
Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning. ICARCV 2012: 1591-1596 - [c99]Zhichao Lian, Meng Joo Er, Yang Cong:
Local Line Derivative Pattern for face recognition. ICIP 2012: 1449-1452 - [c98]Guangpu Huang, Meng Joo Er:
An adaptive control scheme for articulatory synthesis of plosive-vowel sequences. IECON 2012: 1465-1470 - [c97]Yuting Chen, Er Meng Joo:
Biomedical diagnosis and prediction using parsimonious fuzzy neural networks. IECON 2012: 1477-1482 - [c96]Xiang Li, Meng Joo Er, Hailin Ge, Oon Peen Gan, Sheng Huang, Lain-Yin Zhai, Linn San, Amin Jahromi Torabi:
Adaptive Network Fuzzy Inference System and support vector machine learning for tool wear estimation in high speed milling processes. IECON 2012: 2821-2826 - [c95]Guangpu Huang, Meng Joo Er:
Model-based articulatory phonetic features for improved speech recognition. IJCNN 2012: 1-8 - 2011
- [j52]Meng Joo Er, Richard Jayadi Oentaryo:
Book Review: Computational Intelligence: Methods and Techniques (Rutkowski, L.; 2008). IEEE Comput. Intell. Mag. 6(4): 76-78 (2011) - [j51]Zhe Tang, Meng Joo Er, Fang Qi:
Dynamic fuzzy neural network for the intelligent control of a humanoid robot. Comput. Syst. Sci. Eng. 26(3) (2011) - [j50]Yongping Pan, Meng Joo Er, Daoping Huang, Qinruo Wang:
Fire-rule-based direct adaptive type-2 fuzzy H∞ tracking control. Eng. Appl. Artif. Intell. 24(7): 1174-1185 (2011) - [j49]Yongping Pan, Meng Joo Er, Daoping Huang, Qinruo Wang:
Adaptive Fuzzy Control With Guaranteed Convergence of Optimal Approximation Error. IEEE Trans. Fuzzy Syst. 19(5): 807-818 (2011) - [c94]Guangpu Huang, Meng Joo Er:
A novel neural-based pronunciation modeling method for robust speech recognition. ASRU 2011: 517-522 - [c93]Zhichao Lian, Meng Joo Er, Juekun Li:
A Novel Face Recognition Approach under Illumination Variations Based on Local Binary Pattern. CAIP (2) 2011: 89-96 - [c92]Zhichao Lian, Meng Joo Er, Juekun Li:
A Novel Local Illumination Normalization Approach for Face Recognition. ISNN (2) 2011: 350-355 - [c91]Mahardhika Pratama, Meng Joo Er, Xiang Li, Linn San, J. O. Richard, Lain-Yin Zhai, Amin Jahromi Torabi, Imam Arifin:
Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification. ISNN (2) 2011: 525-534 - [c90]Meng Joo Er, Piotr Duda:
On the Weak Convergence of the Orthogonal Series-Type Kernel Regresion Neural Networks in a Non-stationary Environment. PPAM (1) 2011: 443-450 - [c89]Maciej Jaworski, Meng Joo Er:
Learning in a Non-stationary Environment Using the Recursive Least Squares Method and Orthogonal-Series Type Regression Neural Network. PPAM (1) 2011: 480-489 - [c88]Lena Pietruczuk, Meng Joo Er:
Strong Convergence of the Parzen-Type Probabilistic Neural Network in a Time-Varying Environment. PPAM (1) 2011: 530-538 - 2010
- [j48]Di Ma, Meng Joo Er, Bang Wang, Hock-Beng Lim:
A novel approach toward source-to-sink distance estimation in wireless sensor networks. IEEE Commun. Lett. 14(5): 384-386 (2010) - [j47]Ning Wang, Meng Joo Er, Xianyao Meng, Xiang Li:
An Online Self-Organizing Scheme for Parsimonious and Accurate Fuzzy Neural Networks. Int. J. Neural Syst. 20(5): 389-403 (2010) - [j46]X. Li, Meng Joo Er, Beng Siong Lim, J. H. Zhou, O. P. Gan, Leszek Rutkowski:
Fuzzy Regression Modeling for Tool Performance Prediction and Degradation Detection. Int. J. Neural Syst. 20(5): 405-419 (2010) - [j45]Di Ma, Meng Joo Er, Bang Wang:
Analysis of Hop-Count-Based Source-to-Destination Distance Estimation in Wireless Sensor Networks With Applications in Localization. IEEE Trans. Veh. Technol. 59(6): 2998-3011 (2010) - [c87]Krzysztof Cpalka, Leszek Rutkowski, Meng Joo Er:
On Automatic Design of Neuro-fuzzy Systems. ICAISC (1) 2010: 43-48 - [c86]Juan Du, Meng Joo Er, Leszek Rutkowski:
An Efficient Adaptive Fuzzy Neural Network (EAFNN) Approach for Short Term Load Forecasting. ICAISC (1) 2010: 49-57 - [c85]Juan Du, Meng Joo Er, Leszek Rutkowski:
Fault Diagnosis of an Air-Handling Unit System Using a Dynamic Fuzzy-Neural Approach. ICAISC (1) 2010: 58-65 - [c84]Leszek Rutkowski, Andrzej Przybyl, Krzysztof Cpalka, Meng Joo Er:
Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. ICAISC (2) 2010: 645-650 - [c83]Di Ma, Meng Joo Er, Hock-Beng Lim, Bang Wang:
A lower bound on expected localization error in wireless sensor network. ICARCV 2010: 96-103 - [c82]Zhichao Lian, Meng Joo Er:
An efficient illumination normalization method in a transformed domain. ICARCV 2010: 884-889 - [c81]Amin Jahromi Torabi, Olivier Massol, Meng Joo Er, Li Xiang, Beng Siong Lim, Oon Peen Gan, Sheng Huang, Sudhan Raj Gopikrishnan, Lianyin Zhai, Linn San:
Flute based analysis of ball-nose milling signals using continuous wavelet analysis features. ICARCV 2010: 1359-1364 - [c80]Guangpu Huang, Meng Joo Er:
A hybrid computational model for spoken language understanding. ICARCV 2010: 2078-2083 - [c79]Liu Fan, Meng Joo Er:
An intelligent control approach for blood pressure system using self-generating fuzzy neural networks. ICARCV 2010: 2185-2190 - [c78]Linn San, Meng Joo Er, Xiang Li, Lain-Yin Zhai, Amin Jahromi Torabi:
An enhanced online self-organizing fuzzy neural network. ICARCV 2010: 2214-2220 - [c77]Fan Liu, Meng Joo Er:
Design for Self-Organizing Fuzzy Neural Network with Extended Kalman Filter. ICCA 2010: 423-427 - [c76]Juan Du, Meng Joo Er:
A fast pruning algorithm for an Efficient Adaptive Fuzzy Neural Network. ICCA 2010: 1030-1035 - [c75]Liu Fan, Meng Joo Er, Leszek Rutkowski:
An online approach towards self-generating fuzzy neural networks with applications. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j44]Ning Wang, Meng Joo Er, Xianyao Meng:
A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks. Neurocomputing 72(16-18): 3818-3829 (2009) - [c74]Di Ma, Bang Wang, Hock Beng Lim, Meng Joo Er:
Hop-Count Based Node-to-Anchor Distance Estimation in Wireless Sensor Networks. CCNC 2009: 1-5 - [c73]Ning Wang, Xianyao Meng, Meng Joo Er, Xinjie Han, Song Meng, Qingyang Xu:
An Online Self-constructing Fuzzy Neural Network with Restrictive Growth. ISNN (2) 2009: 99-108 - [c72]Meng Joo Er, Fan Liu:
Parameter Tuning of MLP Neural Network Using Genetic Algorithms. ISNN (4) 2009: 121-130 - [p2]Hock Beng Lim, Di Ma, Cheng Fu, Bang Wang, Meng Joo Er:
Adaptive Distributed Resource Allocation for Sensor Networks. Guide to Wireless Sensor Networks 2009: 347-377 - 2008
- [j43]Meng Joo Er, Yi Zhou:
A novel framework for automatic generation of fuzzy neural networks. Neurocomputing 71(4-6): 584-591 (2008) - [j42]Meng Joo Er, Yi Zhou:
Automatic generation of fuzzy inference systems via unsupervised learning. Neural Networks 21(10): 1556-1566 (2008) - [j41]Yi Zhou, Meng Joo Er:
An Evolutionary Approach Toward Dynamic Self-Generated Fuzzy Inference Systems. IEEE Trans. Syst. Man Cybern. Part B 38(4): 963-969 (2008) - [c71]Meng Joo Er, Linn San:
Automatic generation of Fuzzy Inference Systems using Incremental-Topological-Preserving-Map-based Fuzzy Q-Learning. FUZZ-IEEE 2008: 467-474 - [c70]Ming-Bin Li, Meng Joo Er:
Channel equalization using self-constructing fuzzy neural networks with extended Kalman Filter (EKF). FUZZ-IEEE 2008: 960-964 - [c69]Zhe Tang, Meng Joo Er, Chiang-Ju Chien:
Analysis of human gait using an Inverted Pendulum Model. FUZZ-IEEE 2008: 1174-1178 - [c68]Di Ma, Meng Joo Er, Hock-Beng Lim:
A comprehensive study of Kalman filter and extended Kalman filter for target tracking in Wireless Sensor Networks. SMC 2008: 2792-2797 - [c67]Amin Jahromi Torabi, Paknoosh Karimaghaee, Shapour Golbahar Haghighi, Mansour Doostfatemeh, Meng Joo Er:
Intelligent selective packet discarding using general fuzzy automata. SMC 2008: 3714-3720 - [p1]Meng Joo Er, Yi Zhou:
Dynamically Self-generated Fuzzy Neural Networks with Industry Applications. Soft Computing Applications in Industry 2008: 47-68 - [e1]Dimitrios A. Karras, Meng Joo Er, Kamal A. F. Moustafa:
International Conference on Automation, Robotics and Control Systems, ARCS-08, Orlando, Florida, USA, July 7-10, 2008. ISRST 2008, ISBN 978-1-60651-001-8 [contents] - 2007
- [j40]Amit Agarwal, Meng-Hiot Lim, Meng Joo Er, Nguyen Trung Nghia:
Rectilinear workspace partitioning for parallel coverage using multiple unmanned aerial vehicles. Adv. Robotics 21(1): 105-120 (2007) - [j39]Jing Zhou, Meng Joo Er, Jacek M. Zurada:
Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities. Neurocomputing 70(4-6): 1062-1070 (2007) - [j38]Jing Zhou, Meng Joo Er:
Adaptive output control of a class of uncertain chaotic systems. Syst. Control. Lett. 56(6): 452-460 (2007) - [c66]Jinxin Hao, Meng Joo Er:
Optimal State-Space Realizations of Digital Controllers with Roundoff Noise Consideration. CCA 2007: 7-12 - [c65]Yi Zhou, Meng Joo Er:
A Novel Q-Learning Approach with Continuous States and Actions. CCA 2007: 18-23 - [c64]Zhe Tang, Meng Joo Er:
Humanoid 3D Gait Generation Based on Inverted Pendulum Model. ISIC 2007: 339-344 - [c63]Jing Zhou, Meng Joo Er:
Robust Adaptive Control of Valve Mechanism with Unknown Backlash Nonlinearity. ISIC 2007: 357-362 - [c62]Yi Zhou, Meng Joo Er, Wen Yu:
A Hybrid Approach for Automatic Generation of Fuzzy Inference Systems without Supervised Learning. ACC 2007: 3371-3376 - [c61]Zhe Tang, Meng Joo Er, Geok See Ng:
Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network. IJCNN 2007: 2653-2657 - 2006
- [j37]Meng Joo Er, Yi Zhou, Lin Chen:
Design of proportional parallel distributed compensators for non-linear systems. Int. J. Comput. Appl. Technol. 27(2/3): 204-211 (2006) - [j36]W. Chen, Meng Joo Er, Shiqian Wu:
Illumination Compensation and Normalization for Robust Face Recognition Using Discrete Cosine Transform in Logarithm Domain. IEEE Trans. Syst. Man Cybern. Part B 36(2): 458-466 (2006) - [c60]Jing Zhou, Meng Joo Er, Kalyana C. Veluvolu:
Adaptive output control of nonlinear time-delayed systems with uncertain dead-zone input. ACC 2006: 1-6 - [c59]Rui Yan, Meng Joo Er, Ya-Jun Pan:
Multi-period repetitive learning control for a class of unmatched systems with unknown control direction. ACC 2006 - [c58]Yi Zhou, Meng Joo Er:
Self-Learning in Obstacle Avoidance of a Mobile Robot via Dynamic Self-Generated Fuzzy Q-Learning. CIMCA/IAWTIC 2006: 116 - [c57]Meng Joo Er, Yi Zhou:
A Novel Reinforcement Learning Approach for Automatic Generation of Fuzzy Inference Systems. FUZZ-IEEE 2006: 100-105 - [c56]Ming-Bin Li, Meng Joo Er:
Nonlinear System Identification Using Extreme Learning Machine. ICARCV 2006: 1-4 - [c55]Rui Yan, Meng Joo Er:
Synchronization of Time-delayed Systems Via Learning Control. ICARCV 2006: 1-5 - [c54]Yi Zhou, Meng Joo Er:
Self-Generation of Fuzzy Inference Systems by Enhanced Dynamic Self-Generated Fuzzy Q-Learning. ICARCV 2006: 1-6 - [c53]Jing Zhou, Meng Joo Er, Yi Zhou:
Adaptive Neural Network Control of Uncertain Nonlinear Systems in the Presence of Input Saturation. ICARCV 2006: 1-5 - [c52]Yi Zhou, Meng Joo Er:
A Hybrid Self-learning Approach for Generating Fuzzy Inference Systems. ICONIP (3) 2006: 1002-1011 - [c51]Narendra S. Chaudhari, Nirmal Dagdee, Meng Joo Er:
Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation. IJCNN 2006: 1393-1397 - [c50]Rui Yan, Meng Joo Er, Huajin Tang:
An Improvement on Competitive Neural Networks Applied to Image Segmentation. ISNN (2) 2006: 498-503 - [c49]XuLei Yang, Qing Song, Meng Joo Er:
Robust Data Clustering in Mercer Kernel-Induced Feature Space. ISNN (1) 2006: 1231-1237 - [c48]Chiang-Ju Chien, Meng Joo Er:
Decentralized Adaptive Fuzzy Iterative Learning Control for Repeatable Nonlinear Interconnected Systems. SMC 2006: 1710-1715 - [c47]Meng Joo Er, Yi Zhou, Chiang-Ju Chien:
Gait Synthesis Self-generation by Dynamic Fuzzy Q-Learning Control of Humanoid Robots. SMC 2006: 4231-4236 - 2005
- [j35]Yang Gao, Meng Joo Er:
NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches. Fuzzy Sets Syst. 150(2): 331-350 (2005) - [j34]Weilong Chen, Meng Joo Er, Shiqian Wu:
PCA and LDA in DCT domain. Pattern Recognit. Lett. 26(15): 2474-2482 (2005) - [j33]Meng Joo Er, Zhengrong Li, Huaning Cai, Qing Chen:
Adaptive noise cancellation using enhanced dynamic fuzzy neural networks. IEEE Trans. Fuzzy Syst. 13(3): 331-342 (2005) - [j32]Meng Joo Er, Chang Deng:
Obstacle avoidance of a mobile robot using hybrid learning approach. IEEE Trans. Ind. Electron. 52(3): 898-905 (2005) - [j31]Yang Gao, Meng Joo Er:
An intelligent adaptive control scheme for postsurgical blood pressure regulation. IEEE Trans. Neural Networks 16(2): 475-483 (2005) - [j30]Meng Joo Er, Weilong Chen, Shiqian Wu:
High-speed face recognition based on discrete cosine transform and RBF neural networks. IEEE Trans. Neural Networks 16(3): 679-691 (2005) - [c46]Rishikesh Parthasarathi, Meng Joo Er:
Automatic Generation of Fuzzy Inference Systems Using Unsupervised Learning. ISIC 2005: 41-46 - [c45]Jing Xu, Meng Joo Er:
A Kind of Learning Gain Design Method for Energy-Function-Based Iterative Learning Control. ISIC 2005: 1229-1233 - [c44]Jing Zhou, Meng Joo Er, Changyun Wen:
Adaptive Control of Nonlinear Systems with Uncertain Dead-zone Nonlinearity. CDC/ECC 2005: 796-801 - [c43]Meng Joo Er, Zhengrong Li:
Adaptive Noise Cancellation Using Partially Recurrent Fuzzy System. CDC/ECC 2005: 4083-4088 - [c42]Meng Joo Er, Yi Zhou:
Dynamic Self-Generated Fuzzy Systems for Reinforcement Learning. CIMCA/IAWTIC 2005: 193-198 - [c41]Kay Soon Low, Win Nu Nu Win, Meng Joo Er:
Wireless Sensor Networks for Industrial Environments. CIMCA/IAWTIC 2005: 271-276 - [c40]Weilong Chen, Meng Joo Er, Shiqian Wu:
Fast PCA and LDA for JPEG Images. CORES 2005: 137-144 - [c39]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Solving large scale combinatorial optimization using PMA-SLS. GECCO 2005: 621-628 - [c38]Amit Agarwal, Meng-Hiot Lim, Meng Joo Er:
Proportional Partition of Holed Rectilinear Region amongst Multiple URAVs. ICRA 2005: 1779-1784 - [c37]Amit Agarwal, Meng-Hiot Lim, Meng Joo Er, Chan Yee Chew:
ACO for a new TSP in region coverage. IROS 2005: 1717-1722 - [c36]Meng Joo Er, Yi Zhou:
Intelligent Fuzzy Q-Learning Control of Humanoid Robots. ISNN (3) 2005: 216-221 - [c35]Meng Joo Er, Rishikesh Parthasarathi:
A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems. ISNN (1) 2005: 434-439 - [c34]Yi-Liang Xu, Mene-Hiot Lim, Meng Joo Er:
Investigation on genetic representations for vehicle routing problem. SMC 2005: 3083-3088 - 2004
- [j29]Meng Joo Er, Tien Peng Tan, Sin Yee Loh:
Control of a mobile robot using generalized dynamic fuzzy neural networks. Microprocess. Microsystems 28(9): 491-498 (2004) - [j28]Ya Lei Sun, Meng Joo Er:
Hybrid fuzzy control of robotics systems. IEEE Trans. Fuzzy Syst. 12(6): 755-765 (2004) - [j27]Meng Joo Er, Chang Deng:
Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning. IEEE Trans. Syst. Man Cybern. Part B 34(3): 1478-1489 (2004) - [c33]Amit Agarwal, Meng-Hiot Lim, Chan Yee Chew, Tong Kiang Poo, Meng Joo Er, Yew Kong Leong:
Solution to the Fixed Airbase Problem for Autonomous URAV Site Visitation Sequencing. GECCO (2) 2004: 850-858 - [c32]Amit Agarwal, Meng-Hiot Lim, Maung Ye Win Kyaw, Meng Joo Er:
Inflight Rerouting for an Unmanned Aerial Vehicle. GECCO (2) 2004: 859-868 - [c31]Meng Joo Er, Jing Xu:
Iterative learning control for systems with both parametric and non-parametric uncertainties. ICARCV 2004: 30-35 - [c30]Weilong Chen, Meng Joo Er, Shiqian Wu:
Illumination compensation and normalization using logarithm and discrete cosine transform. ICARCV 2004: 380-385 - [c29]Wen Chen, Meng Joo Er:
Sliding mode observers for a class of uncertain differential-algebraic systems. ICARCV 2004: 1140-1145 - [c28]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems. ICARCV 2004: 2286-2291 - [c27]Chang Deng, Meng Joo Er, Jing Xu:
Dynamic fuzzy Q-learning and control of mobile robots. ICARCV 2004: 2336-2341 - [c26]Zhengrong Li, Meng Joo Er:
Adaptive noise cancellation using IIR-based fuzzy systems. SMC (6) 2004: 5691-5696 - 2003
- [j26]Yang Gao, Meng Joo Er:
Modelling, control, and stability analysis of non-linear systems using generalized fuzzy neural networks. Int. J. Syst. Sci. 34(6): 427-438 (2003) - [j25]Yang Gao, Meng Joo Er:
Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems. IEEE Trans. Fuzzy Syst. 11(4): 462-477 (2003) - [j24]Meng Joo Er, Yang Gao:
Robust adaptive control of robot manipulators using generalized fuzzy neural networks. IEEE Trans. Ind. Electron. 50(3): 620-628 (2003) - [c25]Yang Gao, Meng Joo Er:
Adaptive fuzzy neural control of mean arterial pressure through sodium nitroprusside infusion. CDC 2003: 2198-2203 - [c24]Hai Jiang, Meng Joo Er, Yang Gao:
Feature extraction using wavelet packets strategy. CDC 2003: 4517-4520 - [c23]Zhengrong Li, Meng Joo Er, Yang Gao:
An adaptive RBFN-based filter for adaptive noise cancellation. CDC 2003: 6175-6180 - [c22]Yang Gao, Meng Joo Er:
Adaptive fuzzy neural modeling and control scheme for mean arterial pressure regulation. IROS 2003: 1198-1203 - [c21]Wei Keat Lim, Meng Joo Er:
Classification of mammographic masses using generalized dynamic fuzzy neural networks. Medical Imaging: Image Processing 2003 - [c20]Meng Joo Er, Yang Gao:
Adaptive control strategy for blood pressure regulation using a fuzzy neural network. SMC 2003: 2120-2125 - [c19]Chang Deng, Meng Joo Er:
Automatic generation of fuzzy inference systems by dynamic fuzzy Q-learning. SMC 2003: 3206-3211 - 2002
- [j23]Meng Joo Er, Shiqian Wu:
A fast learning algorithm for parsimonious fuzzy neural systems. Fuzzy Sets Syst. 126(3): 337-351 (2002) - [j22]Meng Joo Er, D. H. Lin:
A new approach for stabilizing nonlinear systems with time delays. Int. J. Intell. Syst. 17(3): 289-302 (2002) - [j21]Meng Joo Er, Bak Heng Kee, Chee Chong Tan:
Design and development of an intelligent controller for a pole-balancing robot. Microprocess. Microsystems 26(9-10): 433-448 (2002) - [j20]Meng Joo Er, Chang Boon Low, Khuan Holm Nah, Moo Heng Lim, Shee Yong Ng:
Real-time implementation of a dynamic fuzzy neural networks controller for a SCARA. Microprocess. Microsystems 26(9-10): 449-461 (2002) - [j19]Meng Joo Er, Shiqian Wu, Juwei Lu, Hock Lye Toh:
Face recognition with radial basis function (RBF) neural networks. IEEE Trans. Neural Networks 13(3): 697-710 (2002) - [c18]Meng Joo Er, Chang Deng:
An intelligent robotic system based on neural-fuzzy approach. ICARCV 2002: 619-624 - [c17]Wei Keat Lim, Meng Joo Er:
Shadow effects in ultrasonic breast cancer imaging. ICARCV 2002: 1517-1521 - [c16]Ya Lei Sun, Meng Joo Er:
Design of a recursive fuzzy controller with nonlinear fuzzy rule base. ICARCV 2002: 1574-1578 - 2001
- [j18]D. H. Lin, Meng Joo Er:
A new approach for stabilizing a TS model fuzzy system. Int. J. Intell. Syst. 16(12): 1321-1332 (2001) - [j17]Meng Joo Er, Aik Chong Lua, Jimmy Han Leong Kay, Chee Chong Lim:
Design and development of a low-cost digital display for water flow rate measurements. Microprocess. Microsystems 25(8): 359-368 (2001) - [j16]Meng Joo Er, Moo Teng Lim, Hui Song Lim:
Real-time hybrid adaptive fuzzy control of a SCARA robot. Microprocess. Microsystems 25(8): 369-378 (2001) - [j15]Mao-Lin Ni, Meng Joo Er:
Comments on "A new robust control for a class of uncertain discrete-time systems". IEEE Trans. Autom. Control. 46(3): 509-511 (2001) - [j14]Shiqian Wu, Meng Joo Er, Yang Gao:
A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks. IEEE Trans. Fuzzy Syst. 9(4): 578-594 (2001) - [j13]Meng Joo Er, Ya Lei Sun:
Hybrid fuzzy proportional-integral plus conventional derivative control of linear and nonlinear systems. IEEE Trans. Ind. Electron. 48(6): 1109-1117 (2001) - [j12]Yang Gao, Meng Joo Er, Song Yang:
Adaptive control of robot manipulators using fuzzy neural networks. IEEE Trans. Ind. Electron. 48(6): 1274-1278 (2001) - [c15]Yang Gao, Meng Joo Er, William E. Leithead, Douglas J. Leith:
Online adaptive control of robot manipulators using dynamic fuzzy neural networks. ACC 2001: 4828-4833 - [c14]Mao-Lin Ni, Meng Joo Er, Yun Chung Chu:
An LMI approach to robust stability of linear delayed systems. CDC 2001: 1003-1004 - [c13]Ya Lei Sun, Meng Joo Er:
Optimal hybrid control of linear and nonlinear systems. CDC 2001: 1669-1674 - [c12]Donghai Lin, Meng Joo Er:
A new approach for stabilizing nonlinear systems with time delay. ECC 2001: 114-119 - [c11]Meng Joo Er, Yang Gao, Ya Lei Sun:
Real-time hybrid adaptive fuzzy control of a SCARA. ECC 2001: 1311-1316 - [c10]Ya Lei Sun, Meng Joo Er:
A novel approach towards sideslip velocity autopilot for an agile missile using hybrid PID control. ECC 2001: 2109-2114 - [c9]Meng Joo Er, Yang Gao, William E. Leithead, Douglas J. Leith:
Lateral auto-pilot design for an agile missile using dynamic fuzzy neural networks. ECC 2001: 3911-3916 - 2000
- [j11]Meng Joo Er, Jun Liao, Jianya Lin:
Fuzzy neural networks-based quality prediction system for sintering process. IEEE Trans. Fuzzy Syst. 8(3): 314-324 (2000) - [j10]Meng Joo Er, Swee Hong Chin:
Hybrid adaptive fuzzy controllers of robot manipulators with bounds estimation. IEEE Trans. Ind. Electron. 47(5): 1151-1160 (2000) - [j9]Shiqian Wu, Meng Joo Er:
Dynamic fuzzy neural networks-a novel approach to function approximation. IEEE Trans. Syst. Man Cybern. Part B 30(2): 358-364 (2000) - [c8]Shiqian Wu, Meng Joo Er, Maolin Ni, William E. Leithead:
A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks. ACC 2000: 2453-2457 - [c7]Meng Joo Er, Jun Liao, Jianya Lin, Maolin Ni:
A novel development tool of fuzzy neural networks. ACC 2000: 2458-2462 - [c6]Mao-Lin Ni, Meng Joo Er:
Decentralized control of robot manipulators with couplings and uncertainties. ACC 2000: 3326-3330 - [c5]Mao-Lin Ni, Meng Joo Er:
Design of linear uncertain systems guaranteeing quadratic boundedness. ACC 2000: 3832-3836 - [c4]Mao-Lin Ni, Meng Joo Er, William E. Leithead, Douglas J. Leith:
Robust tracking controllers of uncertain delay systems. CDC 2000: 1539-1543
1990 – 1999
- 1999
- [j8]S. H. Chin, Meng Joo Er, S. S. Neo:
Enhanced direct adaptive fuzzy control of robot manipulators. J. Field Robotics 16(5): 301-311 (1999) - [j7]Woon-Seng Gan, Yong Kim Chong, Meng Joo Er:
A low-cost digital signal processor-based ear-muff with adaptive active noise control. Microprocess. Microsystems 22(7): 413-422 (1999) - [c3]Shiqian Wu, Meng Joo Er:
A fast learning algorithm for parsimonious fuzzy neural systems. ECC 1999: 1469-1474 - [c2]Meng Joo Er, S. B. Chang, C. S. Huang, Shiqian Wu:
Non-contact coordinate measurements for robotic manipulators using laser tracking systems. ECC 1999: 1932-1937 - 1998
- [c1]Swee Hong Chin, Meng Joo Er:
Hybrid adaptive fuzzy controllers of robot manipulators. IROS 1998: 1132-1137 - 1997
- [j6]Meng Joo Er, Kang Chew Liew:
Control of Adept One SCARA robot using neural networks. IEEE Trans. Ind. Electron. 44(6): 762-768 (1997) - 1996
- [j5]S. S. Neo, Meng Joo Er:
Adaptive fuzzy controllers of a robot manipulator. Int. J. Syst. Sci. 27(6): 519-532 (1996) - [j4]S. S. Neo, Meng Joo Er:
Comparison Study of Adaptive Controllers for Robot Manipulators. J. Intell. Fuzzy Syst. 4(2): 107-119 (1996) - 1995
- [j3]Meng Joo Er, Brian D. O. Anderson:
Design of reduced-order multirate output linear functional observer-based compensators. Autom. 31(2): 237-242 (1995) - 1994
- [j2]Meng Joo Er, Brian D. O. Anderson, Wei-Yong Yan:
Gain margin improvement using generalized sampled-data hold function based multirate output compensator. Autom. 30(3): 461-470 (1994) - 1993
- [j1]Meng Joo Er:
On the Limiting Solution of Quadratically Constrained Broad-Band Beam Formers. IEEE Trans. Signal Process. 41(1): 418-418 (1993)
Coauthor Index
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