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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad

    Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad by Muhamad, Kamarul Arifin

    Published 2002
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  5. 5
    Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin.

    Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin. by Musirin, Ismail

    Published 2004
    “…Few automatic contingency analysis and ranking algorithms due to line and generator outages were separately developed. …”
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  6. 6
    Differential equation fault location algorithm with harmonic effects in power system

    Differential equation fault location algorithm with harmonic effects in power system by Izatti, Md Amin, Mohd Rafi, Adzman, Haziah, Abdul Hamid, Muhd Hafizi, Idris, Melaty, Amirruddin, Omar, Aliman

    Published 2023
    “…In this study, several filters were tested to obtain the lowest fault location error to reduce the effect of harmonic components on the developed fault location algorithm. …”
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  7. 7
    Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.

    Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid. by Abdul Khalid, Noor Elaiza

    Published 2010
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  8. 8
    Three-term conjugate gradient method under Armijo line search for unemployment rate in Malaysia / Muhammad Fiqhi Zulkifli

    Three-term conjugate gradient method under Armijo line search for unemployment rate in Malaysia / Muhammad Fiqhi Zulkifli by Zulkifli, Muhammad Fiqhi

    Published 2023
    “…TTDY is the most effective method based on numerical results but only TTRMIL+ can be applied in regression analysis.…”
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  9. 9
    Hybrid intelligent active force controller for robot arms using evolutionary neural networks

    Hybrid intelligent active force controller for robot arms using evolutionary neural networks by Hussein, S. B., Jamaluddin, H., Mailah, M., Zalzala, A. M. S.

    Published 2000
    “…In the first stage, which is performed off-line, the proposed EC algorithm is employed to evolve a pool of ANN structures until they converge to an optimum structure. …”
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  10. 10
    Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO

    Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO by Nor Rul Hasma, Abdullah, I., Musirin

    Published 2013
    “…This paper presents a swarm intelligence algorithm for monitoring and improving voltage stability in power system considering a contingency conditions; line outage. …”
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  11. 11
    A hybrid intelligent active force controller for robot arms using evolutionary neural networks

    A hybrid intelligent active force controller for robot arms using evolutionary neural networks by Hussein, S.B, Jamaluddin, H, Mailah, M, Zalzala, A.M.S

    Published 2000
    “…In the first stage, which is performed off-line, the proposed EC algorithm is employed to evolve a pool of ANN structures until they converge to an optimum structure. …”
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  12. 12
    Optimized electric power distribution via genetic algorithm based estimation / Otonye Ene Ojuka ... [et al.]

    Optimized electric power distribution via genetic algorithm based estimation / Otonye Ene Ojuka ... [et al.] by Ojuka, Otonye Ene, Wokoma, Biobele Alexander, Bala, Tekena Kashmony, Kinba, Queen Blue-Jack, Tamunobelema, Asime

    Published 2024
    “…This research shows an effective way of minimizing power loss in distribution lines using optimal capacitor placement (OCP) in conjunction with a genetic algorithm (GA). …”
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  13. 13
    Identification of maximum loadability in power system with line outages using chaotic mutation immune evolutionary programming / Sharifah Azma Syed Mustaffa, Ismail Musirin and Muhammad Murtadha Othman

    Identification of maximum loadability in power system with line outages using chaotic mutation immune evolutionary programming / Sharifah Azma Syed Mustaffa, Ismail Musirin and Muh... by Syed Mustaff, Sharifah Azma, Musirin, Ismail, Othman, Muhammad Murtadha

    Published 2018
    “…This paper proposes a new algorithm namely Chaotic Mutation Immune Evolutionary Programming (CMIEP) for maximum loadability under N-1 contingency in a transmission system. …”
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  14. 14
    Multi-objective evolutionary programming for static var compensator (SVC) in power system considering contingencies (N-m)

    Multi-objective evolutionary programming for static var compensator (SVC) in power system considering contingencies (N-m) by Nor Rul Hasma, Abdullah, Mahaletchumi, Morgan, Mahfuzah, Mustafa, Rosdiyana, Samad, Pebrianti, Dwi

    Published 2017
    “…This device is capable of minimizing the overall system losses and concurrently improves the voltage stability. A line index, namely SVSI becomes indicator for the placement of SVC and the parameters of SVCs are tuned by using the multi-objective evolutionary programming technique, effectively able to control the power. …”
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  15. 15
    Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.]

    Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.] by Mazani, Muhammad Naim, Abdul-Rahman, Shuzlina, Mutalib, Sofianita

    Published 2020
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  16. 16
    Early detection and mitigation of DDoS attacks in software defined networks

    Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

    Published 2018
    “…To detect and mitigate this attack at its early stages, an entropy-based DDoS attack detection and mitigation algorithm was proposed. The algorithm was written in Python programming language to be implementing on a POX controller. …”
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  17. 17
    Enhancing understanding of programming concepts through physical games

    Enhancing understanding of programming concepts through physical games by Raja Yusof, Raja Jamilah, Habib, Ahsan

    Published 2017
    “…The activities were conducted involving first and fourth year undergraduate students and Master students in Programming 1 (31 students), Data Structure (6 students), Analysis of Algorithm (12 students) and Advanced Algorithm (22 students) courses respectively. …”
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  18. 18
    Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency

    Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency by Khalaji Assadi, Morteza

    Published 2016
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  19. 19
    Sensor based line follower self-driving car (sCar) with Obstacles Avoidance

    Sensor based line follower self-driving car (sCar) with Obstacles Avoidance by Md Nazrul Islam, Jaime Gallardo-Alvarado, Othman bin Ahmad, Ali Farzamnia, Zakariah Aris

    Published 2016
    “…The sCar senses a line and endeavors a collision free path itself accordingly towards the initial position to desired goal position using a simple feedback mechanism but yet very effective closed loop system. …”
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  20. 20
    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

    Published 2018
    “…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
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