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  1. 1
    An Intelligent System Approach to the Dynamic Hybrid Robot Control

    An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

    Published 1996
    “…This was because a robot can be seen as a physical intelligent system which interacts with the real world environment by means of its sensors and actuators. …”
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  2. 2
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  3. 3
    Performance Comparison Of Intelligent Tuning Methods Using Pid-Afcga And Pid-Afcpso In Attenuating The Vibration Of The Suspended Handle Model

    Performance Comparison Of Intelligent Tuning Methods Using Pid-Afcga And Pid-Afcpso In Attenuating The Vibration Of The Suspended Handle Model by Choo, Kinn

    Published 2021
    “…An effective vibration control system is necessary to suppress the vibration of the power tools, whereby vibration control through active force control (AFC) is proven to be a feasible method from the previous research. …”
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  4. 4
    Real time self-calibration algorithm of pressure sensor for robotic hand glove system

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…This study investigates the use of a novel Proposed Self-Calibration Algorithm (PSCA) of multi pressure sensors in real time on robotic hand glove system. …”
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  5. 5
    Sensitivity analysis of drill wear and optimization using Adaptive Neuro fuzzy –genetic algorithm technique toward sustainable machining

    Sensitivity analysis of drill wear and optimization using Adaptive Neuro fuzzy –genetic algorithm technique toward sustainable machining by Saw, Lip Huat, Ho, Li Wen, Yew, Ming Chian, Yusof, Farazila, Pambudi, Nugroho Agung, Ng, Tan Ching, Yew, Ming Kun

    Published 2018
    “…Hence, an intelligent tool condition monitoring system is needed to maximize tool life and reduce machine downtime due to the tool replacement. …”
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  6. 6
    Minimization of tool path length of drilling process using particle swarm optimization (PSO)

    Minimization of tool path length of drilling process using particle swarm optimization (PSO) by Abdullah, Haslina, Zaman, Nizam Nurehsan, Talib, Norfazillah, Lee, Woon Kiow, Saleh, Aslinda, Zakaria, Mohamad Shukri

    Published 2020
    “…Drrilling process is one of a very important cutting process in industry. …”
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  7. 7
    Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel

    Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel by Zamri, Ruzaidi

    Published 2016
    “…Second part is to obtain the optimum polishing parameter by using artificial intelligence technique which is able to predict the grit size, polishing time and polishing force parameter to remove the scratch by polishing process. …”
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  8. 8
    Performance Comparison Of AFC-CA, AFC-GA, AFC-PSO And AFC-NN In Reducing The Vibration Of Suspended Handle Model

    Performance Comparison Of AFC-CA, AFC-GA, AFC-PSO And AFC-NN In Reducing The Vibration Of Suspended Handle Model by Chin, Jiun How

    Published 2022
    “…In this study, various intelligent tuning methods are applied such as Crude Approximation (CA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Neural Network (NN) together with AVC-PID system. …”
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  9. 9
    ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets

    ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets by Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Khan, Sheroz

    Published 2021
    “…The processed metadata is normalized for the easiness of algorithm analysis and modelled with machine learning-based latest deep learning ensemble LSTM algorithms for anomaly detection. …”
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  10. 10
    Digital Transformation Using Industry 4.0 and Artificial Intelligence

    Digital Transformation Using Industry 4.0 and Artificial Intelligence by Keerthika M., Pragadeesh M., Santhiya M., Jebamalar G.B., Venu H.

    Published 2025
    “…Explainable artificial intelligence (XAI) conducts studies and creates tools, techniques, and algorithm designs that produce information and judgments made by AI-based systems that are comprehensible to humans. …”
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  11. 11
    Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network

    Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network by Faisal, Ali Raed, Hashim, Fazirulhisyam, Ismail, Mahamod, Noordin, Nor Kamariah

    Published 2016
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  12. 12
    Gripping an object based on inspection of slip events for a robotic hand model

    Gripping an object based on inspection of slip events for a robotic hand model by Al-Shanoon, Abdulrahman Abdulkareem Sattoori, Ahmad, Siti Anom, Hassan, Mohd Khair

    Published 2017
    “…An effective grasping operation is required in intelligent robotic hands to address the well-known challenge that occurs during the gripping process. …”
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  13. 13
    Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm

    Intelligent Optimization of Force Tracking Parameters for MR Damper Modelling using Firefly Algorithm by Mat Hussin, Ab Talib, Hanim, Mohd Yatim, Nik Mohd Ridzuan, Shaharuddin, Muhamad Sukri, Hadi, Intan Zaurah, Mat Darus, Annisa, Jamali

    Published 2020
    “…To overcome this problem, an intelligent optimization method known as firefly algorithm (FA) was used by this study to optimize the force tracking controller (FTC) parameters as to achieve the exact damping force of MR damper system. …”
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  14. 14
    Intelligent active force control of a robotic arm using genetic algorithm

    Intelligent active force control of a robotic arm using genetic algorithm by Mailah, Musa, Wong, Min Yee, Jamaluddin, Hishamuddin

    Published 2002
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  15. 15
    Human evacuation movement simulation model: Concepts and techniques

    Human evacuation movement simulation model: Concepts and techniques by Noor Akma, Abu Bakar, Lim, Siew Mooi, Abdul Majid, Mazlina

    Published 2022
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  16. 16
    Human evacuation movement simulation model: Concepts and techniques

    Human evacuation movement simulation model: Concepts and techniques by Noor Akma, Abu Bakar, Lim, Siew Mooi, Abdul Majid, Mazlina

    Published 2022
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  17. 17
    An Intelligent Active Force Control Algorithm to Control an Upper Extremity Exoskeleton for Motor Recovery

    An Intelligent Active Force Control Algorithm to Control an Upper Extremity Exoskeleton for Motor Recovery by Wan Hasbullah, Mohd Isa, Zahari, Taha, Ismail, Mohd Khairuddin, Anwar, P. P. A. Majeed, Khairul Fikri, Muhammad, Ali, Mohammed A. H., Jamaluddin, Mahmud, Zulkifli, Mohamed

    Published 2016
    “…A proportional-derivative (PD) architecture is employed in this study to investigate its efficacy performing joint-space control objectives. An intelligent AFC algorithm is also incorporated into the PD to investigate the effectiveness of this hybrid system in compensating disturbances. …”
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  18. 18
    A fuzzy-active force based control architecture for characterizing a nonlinear MIMO system / Tengku Luqman Tengku Mohamed

    A fuzzy-active force based control architecture for characterizing a nonlinear MIMO system / Tengku Luqman Tengku Mohamed by Tengku Mohamed, Tengku Luqman

    Published 2016
    “…This study examines the modelling and control of a twin rotor multi-input multi-output (MIMO) system (TRMS). An intelligent Active Force Control (AFC) scheme is utilised to compensate disturbances that a conventional PID control algorithm alone is unable to due to the system’s highly nonlinear behaviour. …”
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  19. 19
    Non-pressurized magnetorheological damper controlled using fuzzy semi active damping force estimator (fSADE)

    Non-pressurized magnetorheological damper controlled using fuzzy semi active damping force estimator (fSADE) by Saiful Anuar, Abu Bakar, Hishamuddin, Jamaluddin, Roslan, Abd Rahman, Pakharuddin, Mohd Samin, Ryosuke, Masuda, Hiromu, Hashimoto, Takeshi, Inaba

    Published 2012
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  20. 20
    Artificial Neural Network Flood Prediction for Sungai Isap Residence

    Artificial Neural Network Flood Prediction for Sungai Isap Residence by Khoo, Chun Keong, Mahfuzah, Mustafa, Ahmad Johari, Mohamad, M. H., Sulaiman, Nor Rul Hasma, Abdullah

    Published 2016
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