World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
15950
World Ranking
2891
National Ranking
396

Overview

Meng Joo Er is affiliated with Dalian Maritime University in China, specializing in research at the intersection of engineering and computer science. Their work primarily encompasses control and systems engineering, computer vision and pattern recognition, and ocean engineering, reflecting an interdisciplinary approach to maritime technology and intelligent control systems.

The scientist's research focuses on several specialized subfields, including:

  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Ocean Engineering
  • Computer Networks and Communications
  • Aerospace Engineering

The main topics addressed in their publications highlight expertise in adaptive control techniques and autonomous maritime systems:

  • Adaptive Control of Nonlinear Systems
  • Underwater Vehicles and Communication Systems
  • Advanced Neural Network Applications
  • Distributed Control Multi-Agent Systems
  • Maritime Navigation and Safety
  • Robotic Path Planning Algorithms
  • Adaptive Dynamic Programming Control

Frequent coauthors collaborating with Meng Joo Er include:

  • Yi Liu
  • Huibin Gong
  • Jie Chen
  • Qiong Chang
  • Chuang Ma

Publications by Meng Joo Er are often disseminated through notable venues with significant contributions in the fields of ocean engineering and intelligent systems. Regular publication venues include:

  • Ocean Engineering
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • 2021 6th International Conference on Automation, Control and Robotics Engineering (CACRE)
  • Artificial Intelligence Review
  • IEEE/ASME Transactions on Mechatronics

Some recent papers authored by Meng Joo Er demonstrate a focus on marine object recognition, autonomous surface vehicles, and ship detection leveraging deep learning and intelligent control methodologies:

  • Intelligent motion control of unmanned surface vehicles: A critical review, 2023, Ocean Engineering
  • Ship detection with deep learning: a survey, 2023, Artificial Intelligence Review
  • Review on deep learning techniques for marine object recognition: Architectures and algorithms, 2020, Control Engineering Practice

These publications reflect ongoing efforts to integrate advanced neural networks, adaptive control, and multi-agent distributed control mechanisms within maritime and robotic applications. Meng Joo Er's work contributes to developing systems for enhanced navigation, autonomous vessel operation, and underwater communication under complex environmental conditions.

Best Publications

  • A review of clustering techniques and developments

    Amit Saxena;Mukesh Prasad;Akshansh Gupta;Neha Bharill

  • Face recognition with radial basis function (RBF) neural networks

    Meng Joo Er;Shiqian Wu;Juwei Lu;Hock Lye Toh

  • Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain

    W. Chen;Meng Joo Er;Shiqian Wu

  • Dynamic fuzzy neural networks-a novel approach to function approximation

    Shiqian Wu;Meng Joo Er

  • A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

    Shiqian Wu;Meng Joo Er;Yang Gao

  • High-speed face recognition based on discrete cosine transform and RBF neural networks

    Meng Joo Er;W. Chen;Shiqian Wu

  • NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches

    Yang Gao;Meng Joo Er

  • Wireless Sensor Networks for Industrial Environments

    K.S. Low;W.N.N. Win;M.J. Er

  • Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems

    Yang Gao;Meng Joo Er

  • Coverage path planning for UAVs based on enhanced exact cellular decomposition method

    Yan Li;Hai Chen;Meng Joo Er;Xinmin Wang

  • A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease

    S. Muthukaruppan;M. J. Er

  • Direct Adaptive Fuzzy Tracking Control of Marine Vehicles With Fully Unknown Parametric Dynamics and Uncertainties

    Ning Wang;Meng Joo Er

  • Adaptive Robust Online Constructive Fuzzy Control of a Complex Surface Vehicle System

    Ning Wang;Meng Joo Er;Jing-Chao Sun;Yan-Cheng Liu

  • Online tuning of fuzzy inference systems using dynamic fuzzy Q-learning

    Meng Joo Er;Chang Deng

  • PCA and LDA in DCT domain

    Weilong Chen;Meng Joo Er;Shiqian Wu

  • An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks

    Mahardhika Pratama;Jie Lu;Edwin Lughofer;Guangquan Zhang

  • A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks

    Ning Wang;Meng Joo Er;Xianyao Meng

  • Global Asymptotic Model-Free Trajectory-Independent Tracking Control of an Uncertain Marine Vehicle: An Adaptive Universe-Based Fuzzy Control Approach

    Ning Wang;Shun-Feng Su;Jianchuan Yin;Zhongjiu Zheng

  • Review on deep learning techniques for marine object recognition: Architectures and algorithms

    Ning Wang;Yuanyuan Wang;Meng Joo Er

  • Event-Triggered Consensus of Linear Multiagent Systems With Time-Varying Communication Delays

    Chao Deng;Meng Joo Er;Guang-Hong Yang;Ning Wang

  • Composite adaptive fuzzy H∞ tracking control of uncertain nonlinear systems

    Yongping Pan;Yu Zhou;Tairen Sun;Meng Joo Er

  • Robust adaptive control of robot manipulators using generalized fuzzy neural networks

    Meng Joo Er;Yang Gao

Frequent Co-Authors

Ning Wang
Ning Wang Dalian Maritime University
Yang Gao
Yang Gao Google (United Kingdom)
Yongping Pan
Yongping Pan Sun Yat-sen University
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Shun-Feng Su
Shun-Feng Su National Taiwan University of Science and Technology
Douglas J. Leith
Douglas J. Leith Trinity College Dublin
Min Han
Min Han Dalian University of Technology
Guang-Hong Yang
Guang-Hong Yang Northeastern University
Edwin Lughofer
Edwin Lughofer Johannes Kepler University of Linz
Haoyong Yu
Haoyong Yu National University of Singapore

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