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  1. 1
    Ant colony algorithm for text classification in multicore-multithread environment / Ahmad Nazmi Fadzal

    Ant colony algorithm for text classification in multicore-multithread environment / Ahmad Nazmi Fadzal by Fadzal, Ahmad Nazmi

    Published 2017
    “…Pheromone concept is the main criterion that distinguish ACO to other algorithms. Based on the concept, pheromone saturation is used to combine stackable solution pattern that is discovered while straying to different term node to build a path. …”
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  2. 2
    Implementation of machine learning algorithm in preventing network congestion

    Implementation of machine learning algorithm in preventing network congestion by Noorazimah binti Ali Sabri

    Published 2023
    text::Final Year Project
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  3. 3
    Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device

    Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device by Shanmuga, Pillai A/L Murutha Muthu

    Published 2021
    “…The main motivation of this study is to find out techniques that may improve EEG signal classification. SAX algorithm may bring improvement to classic time series classification, so we investigate it`s impact on EEG signal classification. …”
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  4. 4
    Development Of Algorithms For Vehicle Classification And Speed Estimation From Dynamic Scenes By On-Board Camera Using Image Processing Techniques

    Development Of Algorithms For Vehicle Classification And Speed Estimation From Dynamic Scenes By On-Board Camera Using Image Processing Techniques by Aminuddin, Nur Shazwani

    Published 2018
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  5. 5
    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine

    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine by Fathi Mahdi Elsiddig Haroun, Mr.

    Published 2023
    “…The SVM algorithm has been used to detect high- and low-density vegetation regions from the extracted ROI. …”
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  6. 6
    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui

    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…Furthermore, variable databus widths are used in the data path of the proposed architecture, which leads to reducing the hardware cost and silicon area. …”
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  7. 7
    A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces

    A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces by A. Mostafa, Salama, Ravi, Sharran, Zebari, Dilovan Asaad, Zebari, Nechirvan Asaad, Mohammed, Mazin Abed, Nedoma, Jan, Martinek, Radek, Deveci, Muhammet, Ding, Weiping

    Published 2024
    “…A data augmentation algorithm is used for feature generation to enhance the model’s training robustness. …”
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  8. 8
    A Software Engineering Approach in Netball Performance Analysis: Training and Activities Features for Automatic Players Position Selection

    A Software Engineering Approach in Netball Performance Analysis: Training and Activities Features for Automatic Players Position Selection by Mohamad A.H., Ramli R., Ramli A.F.

    Published 2023
    Conference Paper
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  9. 9
    Radar-based collision avoidance on Unmanned Surface Vehicles (USV)

    Radar-based collision avoidance on Unmanned Surface Vehicles (USV) by Rafi, Muhammad Shahrul Afiq bin Mohamad, Sediono, Wahju, Abidin, Zulkifli Zainal

    Published 2022
    “…This information can help make an initial decision in the collision avoidance algorithm, as shown in this study. The classification of targets is performed based on radar plotting principle. …”
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    Proceeding Paper
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  10. 10
    A collision resistant cryptographic hash function based on cellular automata rules

    A collision resistant cryptographic hash function based on cellular automata rules by Jamil, Norziana

    Published 2013
    “…This is due to its new non-linear recursive function for message expansion that gives higher codewords with minimal weight,its step operation that employs stitching permutation in a target-heavy Balanced Feistel Network that gives no set of conditions for the construction of collision path using established differential attack being constructed, and cryptographically strong Boolean function used in the compression function of STITCH-256 that gives strong non-linearity and diffusion property.…”
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  11. 11
    Automated path testing using the negative selection algorithm

    Automated path testing using the negative selection algorithm by Shayma Mustafa Mohi-Aldeen, Radziah Mohamad, Safaai Deris

    Published 2017
    “…Negative selection algorithm (NSA) has been used in this paper to generate test data for path testing automatically. …”
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  12. 12
    False path identification algorithm framework for nonseparable controller-data path circuits

    False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, Ateeq U. R., Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

    Published 2016
    “…This paper proposes an algorithm frame-work to deal with these false paths through identification for DFT test. …”
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  13. 13
    False path identification algorithm framework for nonseparable controller-data path circuits

    False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, A.-U.-R., Hussin, F.A., Hamid, N.H.

    Published 2017
    “…This paper proposes an algorithm framework to deal with these false paths through identification for DFT test. …”
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  14. 14
    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani

    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

    Published 2015
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  15. 15
    Case Slicing Technique for Feature Selection

    Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

    Published 2004
    “…CST was compared to other selected classification methods based on feature subset selection such as Induction of Decision Tree Algorithm (ID3), Base Learning Algorithm K-Nearest Nighbour Algorithm (k-NN) and NaYve Bay~sA lgorithm (NB). …”
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  16. 16
    An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town

    An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town by Nor Rafidah, Mohamad

    Published 2005
    “…There are many algorithms that used to solve this problem. In this study, ant algorithms are used to find the shortest path using a real data. …”
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  17. 17
    Repetitive mutations in genetic algorithm for software test data generations

    Repetitive mutations in genetic algorithm for software test data generations by Kadhim, Mohammed Majid

    Published 2022
    “…First, the limitations of existing mutation techniques used in GA to generate test data for path coverage testing were analysed. …”
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  18. 18
    An experiment on the performance of shortest path algorithm

    An experiment on the performance of shortest path algorithm by Chan, Simon Yew Meng, Adnan, Nur’ayuni, Sukri, Syazwan Syafiqah, Wan Zainon, Wan Mohd Nazmee

    Published 2016
    “…Shortest path algorithms are one of the main algorithms used in most navigation system. …”
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  19. 19
    High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm

    High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm by Mohd Sabri, Nor Amalina

    Published 2015
    “…This research aims to assist the evacuees to find the shortest path in a high rise building using a shortest path algorithm. …”
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  20. 20
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
    “…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
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