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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
    Exploring dynamic self-adaptive populations in differential evolution

    Exploring dynamic self-adaptive populations in differential evolution by Teo, Jason Tze Wi

    Published 2006
    “…In this paper, we present a first attempt at self-adapting the population size parameter in addition to self-adapting crossover and mutation rates. …”
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  3. 3
    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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  4. 4
    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali

    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

    Published 2020
    “…The testing on adaptive glioblastoma detection produced 93.51% of average accuracy indicates the prototype produced a good glioblastoma segmentation result by using ABC algorithm. …”
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  5. 5
    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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  6. 6
    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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  7. 7
    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail

    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail by Sh. Ismail, Faridah

    Published 2015
    “…A variable rate adapts with the current population environment and therefore increases the searching ability. …”
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  8. 8
    An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization

    An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization by Majid, Mad Helmi Ab.

    Published 2019
    “…In addition, the ADAPSO position update equation is modified to anticipate position adjustment to ensure communication connectivity. To adaptively switches between the two algorithms, an adaptive switching algorithm based on a Generalized Likelihood Ratio Test (GLRT) is proposed. …”
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  9. 9
    Adaptive Mechanism for GA-NN to Enhance Prediction Model

    Adaptive Mechanism for GA-NN to Enhance Prediction Model by Faridah Sh Ismail, Nordin Abu Bakar, (UniKL MIIT)

    Published 2015
    “…GA-NN model is further improved using adaptive mechanism to help identify the most suitable operator probability rates. …”
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  10. 10
    Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm

    Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm by Goay, Chan Hong

    Published 2019
    “…xxiii EYE DIAGRAM MODELING OF HIGH-SPEED CHANNELS USING ARTIFICIAL NEURAL NETWORKS WITH AN IMPROVED ADAPTIVE SAMPLING ALGORITHM ABSTRACT As data rates increase to the gigabit range and beyond, signal integrity (SI) analysis becomes increasingly difficult and time consuming process. …”
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  11. 11
    Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin

    Stage detection of Alzheimer Disease using Adaptive Neuro Fuzzy Inference System (ANFIS) / Fateen Nur Nadhira Kamal Ariffin by Kamal Ariffin, Fateen Nur Nadhira

    Published 2017
    “…As for training part, it shows 72% rate and as for testing part, it shows 60% rate of accuracy test. …”
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  12. 12
    Fuzzy adaptive emperor penguin optimizer for global optimization problems

    Fuzzy adaptive emperor penguin optimizer for global optimization problems by Md Abdul, Kader

    Published 2023
    “…A test suite of twelve benchmark test functions and three global optimization problems: Team Formation Optimization (TFO), Low Autocorrelation Binary Sequence (LABS), and Modified Condition/ Decision coverage (MC/DC) test case generation problem were solved using the proposed algorithm. …”
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  13. 13
    Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility

    Objective and Subjective Evaluations of Adaptive Noise Cancellation Systems with Selectable Algorithms for Speech Intelligibility by Roshahliza, M. Ramli, Salina, Abdul Samad, Noor, Ali O. Abid

    Published 2018
    “…Adaptive Noise Cancellation (ANC) systems with selectable algorithms refer to ANC systems that are able to change the adaptation algorithm based on the eigenvalue spread of the noise. …”
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  14. 14
    An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem

    An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem by Kader, Md. Abdul, Zamli, Kamal Z., Alkazemi, Basem Yousef

    Published 2022
    “…A test suite of twelve optimization benchmark test functions and three global optimization problems (Team Formation Optimization - TFO, Low Autocorrelation Binary Sequence - LABS, and Modified Condition/Decision Coverage - MC/DC test case generation) were solved using the proposed algorithm. …”
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  15. 15
    An algorithm for the ambulatory monitoring of fetal heart rate

    An algorithm for the ambulatory monitoring of fetal heart rate by Ibrahimy, Muhammad Ibn, Mohd Ali, Mohd Alauddin, Zahedi, Edmond

    Published 2000
    “…The algorithm has been tested on recorded ambulatory data from 36 to 41 gestational weeks of pregnancy, resulting in an average accuracy of 82% (min, 68%) for the fetal heart rate detection. …”
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  16. 16
    A novel strategy for speed up training for back propagation algorithm via dynamic adaptive the weight training in artificial neural network

    A novel strategy for speed up training for back propagation algorithm via dynamic adaptive the weight training in artificial neural network by Al-Duais, Mohameed Sarhan, Yaakub, Abd Razak, Yusoff, Nooraini, Ahmad, Faudziah

    Published 2015
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  17. 17
    Fast adaptive motion estimation search algorithm for H.264 encoder

    Fast adaptive motion estimation search algorithm for H.264 encoder by Patwary, Md Anwarul Kaium

    Published 2012
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  18. 18
    Noise Cancellation method in assistive listening system

    Noise Cancellation method in assistive listening system by Noor Aliff, Noor Affande

    Published 2020
    “…The noise cancellation system is categorized as active type of noise cancelling method as it includes adaptive filter and adaptive algorithm. This study also dedicated to use various type of adaptive algorithm to test the performance of each adaptive algorithm in order to identify the most efficient of algorithm. …”
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    Undergraduates Project Papers
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  19. 19
    Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation

    Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation by Abdullah, Nasser, Kamal Z., Zamli

    Published 2018
    “…Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. …”
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  20. 20
    Development of an efficient algorithm for fetal heart rate detection: a hardware approach

    Development of an efficient algorithm for fetal heart rate detection: a hardware approach by Ibrahimy, Muhammad Ibn, Reaz, Mamun Bin Ibne, Mohd Ali, Mohd Alauddin, T., H. Khoon, Ismail, Ahmad Faris

    Published 2006
    “…The algorithm is based on cross-correlation, adaptive thresholding and statistical properties in the time domain. …”
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