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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
- 2023
[j138]Meng Joo Er, Yani Zhang, Jie Chen, Wenxiao Gao:
Ship detection with deep learning: a survey. Artif. Intell. Rev. 56(10): 11825-11865 (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]