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  1. 1
    Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning

    Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning by Yingbei, Niu, Chai, Soo See

    Published 2026
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  2. 2
    Intelligent signature detection for scanning Internet Worms

    Intelligent signature detection for scanning Internet Worms by Rasheed M.M., Ghazali O., Norwawi N.M.

    Published 2024
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  3. 3
    Implementation of an intelligent SINS navigator based on ANFIS

    Implementation of an intelligent SINS navigator based on ANFIS by Ahjebory, Karim M., Ismaeel, Salam A., Alqaissi, Ahmed M.

    Published 2009
    “…In this work an intelligent navigator developed to overcome the limitations of existing Strapdown Inertial Navigation Systems (SINS) algorithm. …”
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  4. 4
    Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows

    Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows by Sankor, Salah Mortada Shahen

    Published 2022
    “…The Artificial Bee Colony (ABC) is a popular swarm intelligence algorithm for COP. In this study, existing Modified ABC (MABC) algorithm is revised to solve the VRPTW. …”
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  5. 5
    Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi

    Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi by Ahmad Tarmizi, Muhammad Danial

    Published 2020
    “…Objectives of this project is to design the flow of the system, developed in Window application and test the functionality of the system and reliability for the predictive model. …”
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  6. 6
    Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line

    Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line by Noroziroshan, Alireza, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah

    Published 2010
    “…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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  7. 7
    A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration

    A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration by Jaafar, Hazriq Izzuan

    Published 2013
    “…This paper presented a comparative study of the application of two Swarm Intelligence algorithms: Particle Swarm Optimization and Firefly Algorithm in automatic camera calibration problem. …”
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  8. 8
    A study of frame timing synchronization for WiMAX applications

    A study of frame timing synchronization for WiMAX applications by V., Jeoti, K.L., Ang, K.M., Yew

    Published 2007
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  9. 9
    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption

    A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

    Published 2019
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  10. 10
    A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration

    A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration by Jaafar, Hazriq Izzuan

    Published 2013
    “…This paper presented a comparative study of the application of two Swarm Intelligence algorithms: Particle Swarm Optimization and Firefly Algorithm in automatic camera calibration problem. …”
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  11. 11
    Genetic algorithm for event scheduling system

    Genetic algorithm for event scheduling system by Hasan Basari, Abd Samad, Hussin, Burairah, Jalal, Siti Musliza, Mohd Isa, Nabihah

    Published 2010
    “…UTeM’s Event Alert System (UTeM-EAS) is an improved version of previous Event Alert System in Universiti Teknikal Malaysia Melaka (UTeM) official site that aims to apply Artificial Intelligence (AI) in order to provide its users with events priority. …”
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  12. 12
    Intelligent Examination Timetabling System Using Hybrid Intelligent Water Drops Algorithm

    Intelligent Examination Timetabling System Using Hybrid Intelligent Water Drops Algorithm by AlDeeb, BA, Norwawi, NM, Al-Betar, MA, Jali, MZ

    Published 2024
    “…Intelligent Water Drops algorithm (IWD) is a population-based algorithm where each drop represents a solution and the sharing between the drops during the search lead to better drops. …”
    Proceedings Paper
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  13. 13
    Solving university examination timetabling problem using intelligent water drops algorithm

    Solving university examination timetabling problem using intelligent water drops algorithm by Aldeeb B.A., Norwawi N.M., Al-Betar M.A., Jali M.Z.B.

    Published 2024
    Conference Paper
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  14. 14
    Intelligent examination timetabling system using hybrid intelligent water drops algorithm

    Intelligent examination timetabling system using hybrid intelligent water drops algorithm by AlDeeb, Bashar A., Md Norwawi, Norita, Al-Betar, Mohammed A., Jali, Mohd Z.

    Published 2015
    “…This paper proposes Hybrid Intelligent Water Drops (HIWD) algorithm to solve Tamhidi programs uncapacitated examination timetabling problem in Universiti Sains Islamic Malaysia (USIM).Intelligent Water Drops algorithm (IWD) is a population-based algorithm where each drop represents a solution and the sharing between the drops during the search lead to better drops.The results of this study prove that the proposed algorithm can produce a high quality examination timetable in shorter time in comparison with the manual timetable.…”
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  15. 15
    Hybrid Intelligent Water Drops Algorithm For Examination Timetabling Problem

    Hybrid Intelligent Water Drops Algorithm For Examination Timetabling Problem by Bashar A.Aldeeb, Mohammed Azmi Al-Betar, Norita Md Norwawi, Khalid A.Alissa, Mutasem K.Alsmadi, Ayman A.Hazaymeh, Malek Alzaqebah

    Published 2024
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  16. 16
    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

    RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review by YEJIAO, WANG, KAMALUDIN, HAZALILA, MOHAMMED ALDUAIS, NAYEF ABDULWAHAB, MOHD SAFAR, NOOR ZURAIDIN, ZHONGCHAO, HAO

    Published 2024
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  17. 17
    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing

    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…Firefly algorithm outperformed the other metaheuristic algorithms used to solve this proposed hybrid artificial intelligence model regarding parameter sensitivity. …”
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  18. 18
    A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption

    A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption by Haruna, Chiroma, Abdullahi, Usman Ali, Targio Hashem, Ibrahim Abaker, Saadi, Younes, Al-Dabbagh, Rawaa Dawoud, Ahmad, Muhammad Murtala, Emmanuel Dada, Gbenga, Danjuma, Sani, Maitama, Jaafar Zubairu, Abubakar, Adamu, Abdulhamid, Shafi’i Muhammad

    Published 2019
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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
    Swarm intelligence algorithms’ solutions to the travelling salesman’s problem

    Swarm intelligence algorithms’ solutions to the travelling salesman’s problem by Odili, Julius Beneoluchi, Noraziah, Ahmad, Roslina, Mohd Sidek

    Published 2020
    “…In all, the study agrees with earlier studies in reaching the conclusion that swarm-based optimization techniques are not only effective but also are very efficient in providing solutions to the travelling salesman’s problems…”
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