default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChee Peng Lim
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j252]Lawrence Chuin Ming Liaw, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
A histogram SMOTE-based sampling algorithm with incremental learning for imbalanced data classification. Inf. Sci. 686: 121193 (2025)- 2024
- [j251]Mohammed Nasser Al-Andoli
, Shing Chiang Tan, Kok-Swee Sim, Pey Yun Goh, Chee Peng Lim:
A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach. IEEE Access 12: 17522-17540 (2024) - [j250]Manjeevan Seera, Chee Peng Lim, Ajay Kumar, Lalitha Dhamotharan, Kim Hua Tan:
An intelligent payment card fraud detection system. Ann. Oper. Res. 334(1): 445-467 (2024) - [j249]Pankaj Narang, Pijus Kanti De, Chee Peng Lim, Mamta Kumari:
Optimal recycling model selection in a closed-loop supply chain for electric vehicle batteries under carbon cap-trade and reward-penalty policies using the Stackelberg game. Comput. Ind. Eng. 196: 110512 (2024) - [j248]Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Mohammad Reza Chalak Qazani, Sam Oladazimi, Chu Kiong Loo, Chee Peng Lim, Saeid Nahavandi:
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. Expert Syst. Appl. 249: 123717 (2024) - [j247]Essam Alhroob, Mohammed Falah Mohammed, Osama Nayel Al Sayaydeh, Fadhl Hujainah, Ngahzaifa Ab Ghani, Chee Peng Lim:
A flexible enhanced fuzzy min-max neural network for pattern classification. Expert Syst. Appl. 251: 124030 (2024) - [j246]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine learning meets advanced robotic manipulation. Inf. Fusion 105: 102221 (2024) - [j245]Li Zhang, Dezong Zhao, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Rong Gao:
Video Deepfake classification using particle swarm optimization-based evolving ensemble models. Knowl. Based Syst. 289: 111461 (2024) - [j244]Jinde Cao, Raja Ramachandran, Chee Peng Lim, Fathalla A. Rihan:
2nd International Conference on Mathematical Modeling and Computational Methods in Science and Engineering (ICMMCMSE-2020). Math. Comput. Simul. 223: 693-694 (2024) - [j243]Leandro Cunha, Li Zhang, Bilal Sowan, Chee Peng Lim, Yinghui Kong:
Video deepfake detection using Particle Swarm Optimization improved deep neural networks. Neural Comput. Appl. 36(15): 8417-8453 (2024) - [j242]Lawrence Chuin Ming Liaw, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
Cervical cancer classification using sparse stacked autoencoder and fuzzy ARTMAP. Neural Comput. Appl. 36(22): 13895-13913 (2024) - [j241]Zheng Cai, Yit Hong Choo, Vu Le, Chee Peng Lim, Mingyu Liao:
Enhancing the Whale Optimisation Algorithm with sub-population and hybrid techniques for single- and multi-objective optimisation. Soft Comput. 28(5): 3941-3971 (2024) - [j240]Jie Wu, Rongni Yang, Jonathon A. Chambers, Chee Peng Lim:
Finite-Time Stability Analysis and Stabilization of Switched Affine Systems via an Event-Triggered Strategy. IEEE Trans. Cybern. 54(10): 6169-6179 (2024) - [j239]Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 814-827 (2024) - [j238]Qikun Shen, Peng Shi, Chee Peng Lim:
Fuzzy Adaptive Fault-Tolerant Stability Control Against Novel Actuator Faults and Its Application to Mechanical Systems. IEEE Trans. Fuzzy Syst. 32(4): 2331-2340 (2024) - [j237]Sasikala Subramaniam, Chee Peng Lim, Mani Prakash:
Fuzzy-Based Sampled-Data Synchronization of the Hindmarsh-Rose Neuronal Model. IEEE Trans. Fuzzy Syst. 32(9): 5285-5295 (2024) - [j236]Mohammad Reza Chalak Qazani, Houshyar Asadi, Muhammad Zakarya, Chee Peng Lim, Alan Wee-Chung Liew, Mansour A. Karkoub, Saeid Nahavandi:
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Trans. Intell. Transp. Syst. 25(6): 5112-5121 (2024) - [j235]Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao:
Neural Inference Search for Multiloss Segmentation Models. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15113-15127 (2024) - [j234]Zhi Lian, Peng Shi, Chee Peng Lim, Imre J. Rudas, Ramesh K. Agarwal:
Hybrid Stealthy Attacks on Stochastic Event-Based Remote Estimation Under Packet Dropouts. IEEE Trans. Netw. Sci. Eng. 11(6): 5829-5838 (2024) - [j233]Yize Yang, Peng Shi, Chee Peng Lim, Jonathon A. Chambers:
Optimal Bipartite Tracking Control for Heterogeneous Systems Under DoS Attacks. IEEE Trans. Netw. Serv. Manag. 21(5): 5239-5249 (2024) - [j232]Sasikala Subramaniam, Chee Peng Lim, Rajan Rakkiyappan, Mani Prakash:
Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1113-1123 (2024) - [c95]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi, Chee Peng Lim:
Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data. SysCon 2024: 1-8 - [i15]Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Current and future roles of artificial intelligence in retinopathy of prematurity. CoRR abs/2402.09975 (2024) - [i14]Chenhao Xu, Chang-Tsun Li, Chee Peng Lim, Douglas C. Creighton:
HSViT: Horizontally Scalable Vision Transformer. CoRR abs/2404.05196 (2024) - [i13]Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, Q. M. Jonathan Wu:
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation. CoRR abs/2406.03398 (2024) - [i12]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim:
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR abs/2407.15901 (2024) - [i11]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Chee Peng Lim, Saied Nahavandi:
Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning. CoRR abs/2408.06349 (2024) - [i10]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Saeid Nahavandi, Chee Peng Lim:
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model. CoRR abs/2408.06350 (2024) - 2023
- [j231]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok-Swee Sim, Manjeevan Seera, Chee Peng Lim:
A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery. IEEE Access 11: 39866-39878 (2023) - [j230]Mohammed Nasser Al-Andoli, Kok-Swee Sim, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection. IEEE Access 11: 76330-76346 (2023) - [j229]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani:
A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. 56(3): 1867-1903 (2023) - [j228]Ngoc Duy Nguyen, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53(3): 2967-2988 (2023) - [j227]K. Janani, S. S. Mohanrasu, Chee Peng Lim, Balachandran Manavalan, R. Rakkiyappan:
Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators. Appl. Soft Comput. 143: 110431 (2023) - [j226]Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim:
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. Expert Syst. Appl. 213(Part): 119212 (2023) - [j225]Nhat Truong Pham, Duc Ngoc Minh Dang, Ngoc Duy Nguyen, Thanh Nguyen, Hai Nguyen, Balachandran Manavalan, Chee Peng Lim, Sy Dzung Nguyen:
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition. Expert Syst. Appl. 230: 120608 (2023) - [j224]Li Zhang, Chee Peng Lim, Chengyu Liu:
Enhanced bare-bones particle swarm optimization based evolving deep neural networks. Expert Syst. Appl. 230: 120642 (2023) - [j223]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok-Swee Sim, Pey Yun Goh, Chee Peng Lim:
An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection. J. Intell. Fuzzy Syst. 44(6): 10477-10493 (2023) - [j222]Li Zhang, Sam Slade, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi, Haoqian Huang, Hang Ruan:
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks. Knowl. Based Syst. 277: 110828 (2023) - [j221]Abhijit Barman, Pijus Kanti De, Ashis Kumar Chakraborty, Chee Peng Lim, Rubi Das:
Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing. Math. Comput. Simul. 204: 401-429 (2023) - [j220]Dev Priya Goel, Kushagra Mahajan, Ngoc Duy Nguyen, Srinivasan Natesan, Chee Peng Lim:
Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network. Neural Comput. Appl. 35(3): 2457-2469 (2023) - [j219]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu:
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4051-4070 (2023) - [j218]Arun Kumar, Tanya Chauhan, Srinivasan Natesan, Nhat Truong Pham, Ngoc Duy Nguyen, Chee Peng Lim:
Towards an efficient machine learning model for financial time series forecasting. Soft Comput. 27(16): 11329-11339 (2023) - [j217]Yit Hong Choo, Zheng Cai, Vu Le, Michael Johnstone, Douglas C. Creighton, Chee Peng Lim:
Enhancing the Harris' Hawk optimiser for single- and multi-objective optimisation. Soft Comput. 27(22): 16675-16715 (2023) - [j216]Suriyan Jomthanachai, Wai Peng Wong, Chee Peng Lim:
A Coherent Data Envelopment Analysis to Evaluate the Efficiency of Sustainable Supply Chains. IEEE Trans. Engineering Management 70(1): 294-311 (2023) - [j215]Yang Fei, Peng Shi, Chee Peng Lim, Xin Yuan:
Finite-Time Observer-Based Formation Tracking With Application to Omnidirectional Robots. IEEE Trans. Ind. Electron. 70(10): 10598-10606 (2023) - [j214]Mohammad Reza Chalak Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour A. Karkoub, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. 24(9): 9191-9202 (2023) - [j213]Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. 8(1): 390-403 (2023) - [j212]Houshyar Asadi, Tobias Bellmann, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators. IEEE Trans. Veh. Technol. 72(6): 7024-7034 (2023) - [c94]Chian Haur Jong, Kai Meng Tay, Yi Wen Kerk, Chee Peng Lim:
Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions. FUZZ 2023: 1-6 - [c93]Mehshan Ahmed Khan, Houshyar Asadi, Thuong N. Hoang, Chee Peng Lim, Saeid Nahavandi:
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels. ICONIP (9) 2023: 313-325 - [c92]Yinsong Chen, Samson S. Yu, Jason K. Eshraghian, Chee Peng Lim:
Multi-Objective Spiking Neural Network for Optimal Wind Power Prediction Interval. ISCAS 2023: 1-5 - [c91]Mohammad Reza Chalak Qazani, Houshyar Asadi, Arian Shajari, Zoran Najdovski, Chee Peng Lim, Saeid Nahavandi:
A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. SMC 2023: 3480-3486 - [i9]Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification. CoRR abs/2305.14373 (2023) - [i8]Camilo Gonzalez Arango, Houshyar Asadi, Lars Kooijman, Chee Peng Lim:
Neural Networks for Fast Optimisation in Model Predictive Control: A Review. CoRR abs/2309.02668 (2023) - [i7]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine Learning Meets Advanced Robotic Manipulation. CoRR abs/2309.12560 (2023) - [i6]Chenhao Xu, Chang-Tsun Li, Yongjian Hu, Chee Peng Lim, Douglas C. Creighton:
Deep Learning Techniques for Video Instance Segmentation: A Survey. CoRR abs/2310.12393 (2023) - 2022
- [j211]Ting Yee Lim, Choo Jun Tan, Wai Peng Wong, Chee Peng Lim:
An information entropy-based evolutionary computation for multi-factorial optimization. Appl. Soft Comput. 114: 108071 (2022) - [j210]Li Zhang, Chee Peng Lim, Yonghong Yu, Ming Jiang:
Sound classification using evolving ensemble models and Particle Swarm Optimization. Appl. Soft Comput. 116: 108322 (2022) - [j209]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok-Swee Sim, Chee Peng Lim, Pey Yun Goh:
Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification. Appl. Soft Comput. 131: 109756 (2022) - [j208]Feng Zhang, Zi Wei Liu, Chee Peng Lim, Chun-Ru Dong, Qiang Hua:
A model with pseudo-label correction and distribution alignment for image clustering. Comput. Electr. Eng. 104(Part): 108457 (2022) - [j207]Ramalingam Sriraman, Jihad A. Younis, Chee Peng Lim, Porpattama Hammachukiattikul, Grienggrai Rajchakit, Nattakan Boonsatit:
A Sampling Load Frequency Control Scheme for Power Systems with Time Delays. Complex. 2022: 3878321:1-3878321:14 (2022) - [j206]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An optimal washout filter for motion platform using neural network and fuzzy logic. Eng. Appl. Artif. Intell. 108: 104564 (2022) - [j205]Feng Zhang, Xi-Cheng Li, Chee Peng Lim, Qiang Hua, Chun-Ru Dong, Jun-Hai Zhai:
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition. Inf. Fusion 88: 296-304 (2022) - [j204]Grienggrai Rajchakit, Ramalingam Sriraman, Chee Peng Lim, Bundit Unyong:
Existence, uniqueness and global stability of Clifford-valued neutral-type neural networks with time delays. Math. Comput. Simul. 201: 508-527 (2022) - [j203]Sam Slade, Li Zhang, Yonghong Yu, Chee Peng Lim:
An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images. Neural Comput. Appl. 34(11): 9205-9231 (2022) - [j202]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mehrdad Rostami, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. IEEE Syst. J. 16(2): 1945-1953 (2022) - [j201]Choo Jun Tan, Ting Yee Lim, Teik Kooi Liew, Chee Peng Lim:
An intelligent tool for early drop-out prediction of distance learning students. Soft Comput. 26(12): 5901-5917 (2022) - [j200]Avinash Kaur, Parminder Singh, Ranbir Singh Batth, Chee Peng Lim:
Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud. Softw. Pract. Exp. 52(3): 689-709 (2022) - [j199]Ning Zhao, Peng Shi, Wen Xing, Chee Peng Lim:
Event-Triggered Control for Networked Systems Under Denial of Service Attacks and Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 69(2): 811-820 (2022) - [j198]Ge Song, Peng Shi, Chee Peng Lim:
Distributed Fault-Tolerant Cooperative Output Regulation for Multiagent Networks Via Fixed-Time Observer and Adaptive Control. IEEE Trans. Control. Netw. Syst. 9(2): 845-855 (2022) - [j197]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 30(5): 1248-1259 (2022) - [j196]Ning Zhao, Peng Shi, Wen Xing, Chee Peng Lim:
Resilient Adaptive Event-Triggered Fuzzy Tracking Control and Filtering for Nonlinear Networked Systems Under Denial-of-Service Attacks. IEEE Trans. Fuzzy Syst. 30(8): 3191-3201 (2022) - [j195]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform. IEEE Trans. Intell. Transp. Syst. 23(8): 11767-11778 (2022) - [j194]Marwa Ahmed, Ahmed Abobakr, Chee Peng Lim, Saeid Nahavandi:
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning. IEEE Trans. Intell. Transp. Syst. 23(8): 12562-12571 (2022) - [j193]Mohammad Reza Chalak Qazani, Houshyar Asadi, Li Zhang, Farzin Tabarsinezhad, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network. IEEE Trans. Intell. Transp. Syst. 23(12): 23268-23277 (2022) - [j192]Jun Yuan, Samson S. Yu, Guidong Zhang, Chee Peng Lim, Hieu Trinh, Yun Zhang:
Design and HIL Realization of an Online Adaptive Dynamic Programming Approach for Real-Time Economic Operations of Household Energy Systems. IEEE Trans. Smart Grid 13(1): 330-341 (2022) - [c90]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Sadia Khanam, Adetokunbo Arogbonlo, Darius Nahavandi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. SMC 2022: 635-641 - [c89]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Chee Peng Lim, Adetokunbo Arogbonlo, Shehab Alsanwy, Shadi Mohamed, Mehrdad Rostami, Saeid Nahavandi:
A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. SMC 2022: 1592-1599 - [c88]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. SMC 2022: 2620-2626 - [c87]Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. SMC 2022: 2820-2826 - [c86]Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. SMC 2022: 3317-3323 - [c85]Pin Chen, Chee Peng Lim, Alex Gorod, Liming Zhu:
Towards a Taxonomy of Approaches to Modern Complex Systems. SoSE 2022: 410-415 - 2021
- [j191]Tom Lawrence, Li Zhang, Chee Peng Lim, Emma-Jane Phillips:
Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification. IEEE Access 9: 14369-14386 (2021) - [j190]Suriyan Jomthanachai, Wai Peng Wong, Chee Peng Lim:
An Application of Data Envelopment Analysis and Machine Learning Approach to Risk Management. IEEE Access 9: 85978-85994 (2021) - [j189]Nattakan Boonsatit, Ramalingam Sriraman, Thaned Rojsiraphisal, Chee Peng Lim, Porpattama Hammachukiattikul, Grienggrai Rajchakit:
Finite-Time Synchronization of Clifford-Valued Neural Networks With Infinite Distributed Delays and Impulses. IEEE Access 9: 111050-111061 (2021) - [j188]Grienggrai Rajchakit, Ramalingam Sriraman, P. Vignesh, Chee Peng Lim:
Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis. Appl. Math. Comput. 407: 126309 (2021) - [j187]Farhad Pourpanah, Di Wang, Ran Wang, Chee Peng Lim:
A semisupervised learning model based on fuzzy min-max neural networks for data classification. Appl. Soft Comput. 112: 107856 (2021) - [j186]Nattakan Boonsatit, R. Sugumar, D. Ajay, Grienggrai Rajchakit, Chee Peng Lim, Porpattama Hammachukiattikul, M. Usha, Praveen Agarwal:
Mixed ℋ -Infinity and Passive Synchronization of Markovian Jumping Neutral-Type Complex Dynamical Networks with Randomly Occurring Distributed Coupling Time-Varying Delays and Actuator Faults. Complex. 2021: 5553884:1-5553884:19 (2021) - [j185]Thangavel Poongodi, Prem Prakash Mishra, Chee Peng Lim, Thangavel Saravanakumar, Nattakan Boonsatit, Porpattama Hammachukiattikul, Grienggrai Rajchakit:
TS Fuzzy Robust Sampled-Data Control for Nonlinear Systems with Bounded Disturbances. Comput. 9(12): 132 (2021) - [j184]Li Zhang, Chee Peng Lim, Yonghong Yu:
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization. Knowl. Based Syst. 220: 106918 (2021) - [j183]Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu:
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. Sensors 21(5): 1816 (2021) - [j182]Tom Lawrence, Li Zhang, Kay Rogage, Chee Peng Lim:
Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization. Sensors 21(23): 7936 (2021) - [j181]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi:
Prediction of Motion Simulator Signals Using Time-Series Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3383-3392 (2021) - [j180]Yi Wen Kerk, Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. IEEE Trans. Fuzzy Syst. 29(7): 1864-1873 (2021) - [c84]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs. ICM 2021: 1-6 - [c83]Marwa Ahmed, Chee Peng Lim, Saeid Nahavandi:
A Deep Q-Network Reinforcement Learning-Based Model for Autonomous Driving. SMC 2021: 739-744 - [c82]Justin Stark, Chee Peng Lim, Saeid Nahavandi:
Design Considerations within Cloud Based System-of-Systems Architecture Framework. SMC 2021: 807-812 - [c81]Mohammad Reza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonlo, Ghazal Rahimzadeh, Shady M. K. Mohamed, Siamak Pedrammehr, Chee Peng Lim, Saeid Nahavandi:
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. SMC 2021: 1042-1048 - [c80]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Peng Lim, Saeid Nahavandi:
An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer. SMC 2021: 1627-1633 - [c79]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin:
A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. SMC 2021: 1869-1875 - 2020
- [j179]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi:
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Access 8: 144908-144930 (2020) - [j178]Hailun Xie, Li Zhang, Chee Peng Lim:
Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer. IEEE Access 8: 161519-161541 (2020) - [j177]Joseph Dianavinnarasi, Yang Cao, Ramachandran Raja, Grienggrai Rajchakit, Chee Peng Lim:
Delay-dependent stability criteria of delayed positive systems with uncertain control inputs: Application in mosquito-borne morbidities control. Appl. Math. Comput. 382: 125210 (2020) - [j176]