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  1. 1
    Vision Based Multi Sensor Feedback System For Robot System With Intelligent

    Vision Based Multi Sensor Feedback System For Robot System With Intelligent by Syed Mohamad Shazali, Syed Abdul Hamid

    Published 2009
    “…This research studies the machine vision system and how it may be integrated to assist a robot system with artificial intelligent (Al). This research focuses on building a vision based feedback system for robotics application that consists of image processor and two vision-based sensor devices. …”
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  2. 2
    Hidden markov model for decision making among heterogeneous systems in intelligent building

    Hidden markov model for decision making among heterogeneous systems in intelligent building by Abba, Babakura

    Published 2014
    “…In order to improve the response time a machine learning algorithm like Hidden Markov Model (HMM) instead of the rule-based is used. …”
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  3. 3
    Multidimensional Minimization Training Algorithms for Steam Boiler High Temperature Superheater Trip using Artificial Intelligence Monitoring System

    Multidimensional Minimization Training Algorithms for Steam Boiler High Temperature Superheater Trip using Artificial Intelligence Monitoring System by Alnaimi, F. B. I., Al-Kayiem, Hussain H.

    Published 2010
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  4. 4
    A comparative study of MPPT and voltage regulator controllers for controlling output voltage in PV applications

    A comparative study of MPPT and voltage regulator controllers for controlling output voltage in PV applications by Al-Mohammedawi, Ali Jber Mshkil

    Published 2019
    “…In this research, Perturb and Observe (P&O) algorithm with a PI controller algorithm are selected to enhance the MPPT task over the conventional method. …”
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  5. 5
    Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations

    Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations by Jidin R., Basir Khan M.R., Jamil N., Al-Bahadly I.

    Published 2023
    Conference Paper
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  6. 6
    Evolutionary Multiobjective optimization for automatic generation Of Neural game controller

    Evolutionary Multiobjective optimization for automatic generation Of Neural game controller by Chin, Kim On, Yong, Yung Nan

    Published 2013
    “…This research presents the result of implementing evolutionary algorithms towards computational intelligence in Tower Defense game (TD game). …”
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    Research Report
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  7. 7
    Obso based fractional pid for mppt-pitch control of wind turbine systems

    Obso based fractional pid for mppt-pitch control of wind turbine systems by Mehedi, I.M., Al-Saggaf, U.M., Vellingiri, M.T., Milyani, A.H., Saad, N.B., Yahaya, N.Z.B.

    Published 2022
    “…The proposed model aims to effectually extract the maximum power point (MPPT) in the low range of weather conditions and save the WT in high wind regions by the use of pitch control. The OBSO algorithm is derived from the integration of oppositional based learning (OBL) concept with the traditional BSO algorithm in order to improve the convergence rate, which is then applied to effectively choose the parameters involved in the FOPID controller. …”
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  8. 8
    Smart agriculture: precision farming through sensor-based crop monitoring and control system

    Smart agriculture: precision farming through sensor-based crop monitoring and control system by Mohamad Hakhrani, Asyful Azhim, Abdul Hamid, Syamsul Bahrin

    Published 2024
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  9. 9
    Exploring micro aerial vehicle mechanism and controller design using Webots simulation

    Exploring micro aerial vehicle mechanism and controller design using Webots simulation by Pebrianti, Dwi, Suhaimi, Muhammad Syafiq, Hossain, Md. Jobaher, Bayuaji, Luhur

    Published 2023
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  10. 10
    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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  11. 11
    Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System

    Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System by Al-Barazanchi I., Hashim W., Ahmed Alkahtani A., Rasheed Abdulshaheed H., Muwafaq Gheni H., Murthy A., Daghighi E., Shawkat S.A., Jaaz Z.A.

    Published 2023
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  12. 12
    Gas turbines health prognostics: A short review

    Gas turbines health prognostics: A short review by Tamiru, A.L., Fakhruldin, M.H., Mohd Amin, A.M., Ainul, A.M.

    Published 2016
    “…The reviewed methods include regression methods, physics based models, computational intelligence (artificial neural network and fuzzy systems, evolutionary-based method), and hybrid approaches. …”
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  13. 13
    Gas turbines health prognostics: A short review

    Gas turbines health prognostics: A short review by Tamiru, A.L., Fakhruldin, M.H., Mohd Amin, A.M., Ainul, A.M.

    Published 2016
    “…The reviewed methods include regression methods, physics based models, computational intelligence (artificial neural network and fuzzy systems, evolutionary-based method), and hybrid approaches. …”
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  14. 14
    Obstacle Avoidance of a Mobile Robot Using Fuzzy Logic Control

    Obstacle Avoidance of a Mobile Robot Using Fuzzy Logic Control by Eshtawie, Mohamed Al-Mahdi

    Published 1999
    “…During the past several years fuzzy logic control (FLC) has emerged as one of the most active and fiuitful areas for research in the application of intelligent system design. …”
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  15. 15
    A Robust Single Image Dehazing Method

    A Robust Single Image Dehazing Method by Yaseen Dawod Jassim Al-Zubaidy

    Published 2024
    thesis::doctoral thesis
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  16. 16
    Model-based hybrid variational level set method applied to object detection in grey scale images

    Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

    Published 2024
    “…In industrial inspection, segmentation algorithms detect product defects, cracks, or anomalies for quality control and safety. …”
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  17. 17
    Active intelligent control of vibration of flexible plate structures

    Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

    Published 2011
    “…In this work active intelligent control comprises a set of control techniques based on particle swarm optimisation (PSO), real coded genetic algorithm (RCGA) and artificial immune system (AIS). …”
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  18. 18
    Decentralized Intelligent PID based controller tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator with Experimental Validation

    Decentralized Intelligent PID based controller tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator with Experimental Validation by Annisa, Jamali, Mat Darus, I.Z., M. H., Hassan, Tokhi, M.O.

    Published 2018
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    Proceeding
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  19. 19
    An Intelligent Voltage Controller for a PV Inverter System Using Simulated Annealing Algorithm-Based PI Tuning Approach

    An Intelligent Voltage Controller for a PV Inverter System Using Simulated Annealing Algorithm-Based PI Tuning Approach by Najeeb, Mushtaq, Muhamad, Mansor, Ramdan, Razali, Hamdan, Daniyal, Ali, Mahmood

    Published 2017
    “…This study associates an intelligent voltage controller based PI approach for PV electrical inverter by employing a meta-heuristic optimization algorithmic called a Simulated Annealing (SA) algorithm. …”
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  20. 20
    Modeling and Simulation of Swarm Intelligence Algorithms for Parameters Tuning of PID Controller in Industrial Couple Tank System

    Modeling and Simulation of Swarm Intelligence Algorithms for Parameters Tuning of PID Controller in Industrial Couple Tank System by Ismail, Mohd Khairuddin, Amira Sarayati, Ahmad Dahalan, Amar Faiz, Zainal Abidin, Yee, Yang Lai, Nur Anis, Nordin, Siti Fatimah, Sulaiman, Hazriq Izzuan, Jaafar, Syahrul Hisham, Mohamad, Noor Hafizah, Amer

    Published 2014
    “…This paper explores the applications of two swarm intelligence algorithms in optimizing the PID controller parameters. …”
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