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  1. 1

    Bats echolocation-inspired algorithms for global optimisation problems by Nafrizuan, Mat Yahya

    Published 2016
    “…The works related to swarm intelligence algorithms include the development of the algorithm itself, its modification and improvisation as well as its application in solving global optimisation problems. …”
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    Thesis
  2. 2

    Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF) by Mazlan, Nurul Hidayah

    Published 2019
    “…The proposed algorithm considered features based on its level of importance where weight given based on number of features involved in the sample. …”
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    Thesis
  3. 3

    Evaluation of feature selection algorithm for android malware detection by Mazlan, Nurul Hidayah, A Hamid, Isredza Rahmi

    Published 2018
    “…Proposed algorithm applied considers the feature based on its level of importance. …”
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    Article
  4. 4

    Dynamic obstacle handling in multi-robot coverage by Tay, Wing Le

    Published 2024
    “…Unlike the existing Lloyd’s algorithm which primarily focuses on achieving complete coverage, the Modified Lloyd’s algorithm with VO can determine the time to collision based on the relative distances and velocities of robots and dynamic obstacle. …”
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    Final Year Project / Dissertation / Thesis
  5. 5

    Microcrack Detection And Noise Reduction In Integrated Circuit Packages by Koh, Ye Sheng

    Published 2018
    “…The third algorithm, modified Perona-Malik’s anisotropic diffusion method consists of three stages, (i) image crack enhancement which separates the image into its red, green, and blue channels and enhances the crack features using modified Perona-Malik’s anisotropic diffusion, (ii) image crack segmentation which subtracts the diffused image with the pre-diffused image before summing the grey values of the images together, and (iii) image denoising using morphological opening and median filter. …”
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    Monograph
  6. 6

    Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases by Hafeez, Ahmad

    Published 2021
    “…To improve the ML estimators and to maintain the high breakdown point while having high dimensional data sets, a new robust estimator of banded Cholesky and L₁-median with Weiszfeld algorithm, MLѡвсн was suggested. The performance of MLѡвсн and four more modified ML-tests, namely MLtests with banded Cholesky estimator MLвсн with Thresholding MLтн with Weiszfeld Algorithm MLѡ and with Weiszfeld’s Algorithm Estimator and Thresholding MLѡтн had been examined using Type I error and power of test values in a simulation study. …”
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    Thesis
  7. 7

    An improved electromagnetism-like mechanism algorithm for the optimization of maximum power point tracking / Tan Jian Ding by Tan, Jian Ding

    Published 2017
    “…The search scheme began with relatively bigger steps. The algorithm then systematically tuned the step sizes based on a specially designed nonlinear equation. …”
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    Thesis
  8. 8

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

    Published 2019
    “…Secondly, to trace the source to its approximate location, a Source Tracing Algorithm (STA) known as an Asynchronous Dynamically Adjustable Particle Swarm Optimization (ADAPSO) is suggested. …”
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    Thesis
  9. 9

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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    Thesis
  10. 10

    Recent advances of whale optimization algorithm, its versions and applications by Alyasseri Z.A.A., Ali N.S., Al-Betar M.A., Makhadmeh S.N., Jamil N., Awadallah M.A., Braik M., Mirjalili S.

    Published 2024
    “…The reader of this review will determine the best domains and applications used by WOA and can justify their WOA-related contributions. � 2024 Elsevier Inc. …”
    Book chapter
  11. 11

    Optimization Method Using Modified Harmony Search For Coverage And Energy Efficiency In Wireless Sensor Network by Halim, Nurul Hamimi

    Published 2018
    “…Coverage and energy efficiency metrics are two fundamental issues for almost all types of application in wireless sensor network (WSNs).Coverage reflects how well an area is monitored by sensor nodes and in energy efficient networks where less energy is consumed to provide the same level of services.These twin specifics are presented to evaluate the performance of a wireless sensor network.Due to its simplicity and ease of analysis,full coverage is widely implemented in many theoretical studies.However,sometimes full coverage is not the best way to represent some real-world application due to its strong restrictions and its deterministic characteristics.In this thesis,Modified Harmony Search algorithm (MHS) is proposed to achieve a sensor node deployment such that the covered area is optimal and data transfer has low energy consumption.Through computer simulations, experimental results verified that the proposed method improved the coverage of area in compare to some related methods.Based on the result obtain from every experiments,coverage area percentage performance is affected by the number of hotspots.This is shown by Harmony Search (HS) based method where the coverage area percentage increases as the number of hotspot increase. …”
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    Thesis
  12. 12

    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

    Published 2002
    “…Classification rules were generated from training feature vectors set, and a modified form of the standard voter classification algorithm, that use the rough sets generated rules, was applied. …”
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    Thesis
  13. 13

    Structural assessment of damaged and CFRP repaired reinforced concrete beams from experimental modal analysis / Moatasem Mohammed Fayyadh by Moatasem, Mohammed Fayyadh

    Published 2012
    “…Thus in this study, new algorithms based on natural frequencies and mode shapes for damage detection are proposed to overcome some of the shortcomings which are related to reinforced concrete (RC) being a composite and heterogeneous material. …”
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    Thesis
  14. 14

    Speed Performance Improvement Of Three-Phase Induction Motor Drives Using Adaptive Sliding Mode Controller by Mohd Aziri, Muhammad Hasif

    Published 2020
    “…Several industrial applications use the induction motor because of its ruggedness, reliability and relatively low cost. …”
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    Thesis
  15. 15

    Assist-as-needed control strategy for upper-limb rehabilitation based on subject’s functional ability by Ahmed Mounis, Shawgi Younis, Zainul Azlan, Norsinnira, Sado, Fatai

    Published 2019
    “…Our baseline controller is an adaptive inertia-related controller, which is integrated with the functional ability index algorithm to provide movement assistance as when needed. …”
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    Article
  16. 16

    Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network by Al-Kharasani, Nori Mohammed Abdulkarem

    Published 2020
    “…To provide the necessary robustness, a new Cluster-based Adoptive Cooperative Algorithm (CACA) for VANET is introduced to improve the scalability of the network and reduce control overhead. …”
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    Thesis
  17. 17

    Predicting credit risk of the small medium enterprises using modified KMV model / Shakila Saad by Saad, Shakila

    Published 2022
    “…This study proposes a credit scoring method based on MCDM algorithm that will be able to forecast the score of the potential borrowers at a certain time by using the historic information. …”
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    Thesis
  18. 18
  19. 19

    A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

    Published 2016
    “…The results of the modified Butterworth filter showed good suppression of the crosstalk and brought the signal of interest into its baseline state. …”
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    Thesis
  20. 20

    An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

    Published 2019
    “…In line with the No Free Lunch theorem which suggests that no single metaheuristic is the best for all optimization problems, the search for better algorithms is still a worthy endeavour. Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic algorithm which is appealing to researcher owing to its demonstrated performance as cited in the scientific literature. …”
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    Thesis