Search Results - (( java implementation modified algorithm ) OR ( problem recognition issue algorithm ))

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  1. 1

    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
  2. 2

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
    Review
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    Pattern Recognition for Human Diseases Classification in Spectral Analysis by Nur Hasshima Hasbi, Abdullah Bade, Fuei, Pien Chee, Muhammad Izzuddin Rumaling

    Published 2022
    “…Today, many real issues and scenarios require pattern recognition to aid in the faster resolution of complicated problems, particularly those that cannot be solved using traditional human heuristics. …”
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    Article
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    Modem Recognition Algorithm for Software Defined Radio Base Station by Rukumangatha Rajah, Sivaraman

    Published 2004
    “…As a whole, the proposed modem recognition algorithm demonstrated successful recognition of QPSK, MSK, QASK, and BPSK for a lower-bound channel SNR greater than 5dB with average processing time of approximately 75ms. …”
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    Thesis
  7. 7

    Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

    Published 2013
    “…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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    Thesis
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    Automatic generation of content security policy to mitigate cross site scripting by Mhana, Samer Attallah, Din, Jamilah, Atan, Rodziah

    Published 2016
    “…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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    Conference or Workshop Item
  10. 10

    Facial features point localization using modified SIFT scale space / Zulfikri Paidi by Paidi, Zulfikri

    Published 2020
    “…One challenge in facial recognition is recognition of facial expressions. The problem of facial expression arises due to the activity of changing the shape of the face. …”
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    Thesis
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    Towards Practical Face Recognition System Employing Row-Based Distance Method In 2dpca Based Algorithms by Al-Arashi, Waled Hussein Mohammed

    Published 2014
    “…As a solution to the above mentioned issues, four new distance methods have been proposed in this thesis, which are based on the rows of a feature matrix of 2DPCA-based algorithms. …”
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    Thesis
  14. 14

    Improving hand written digit recognition using hybrid feature selection algorithm by Wong, Khye Mun

    Published 2022
    “…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
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    Final Year Project / Dissertation / Thesis
  15. 15

    BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM by HASSAN AL-ABSI, HAMADA RASHEED

    Published 2010
    “…In fact, it has been referred to as the most important problem in machine or computer vision. Researchers have developed many algorithms to solve the problem of object recognition that are machine vision motivated. …”
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    Thesis
  16. 16

    A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM by Hamada , R. H. Al-Absi, Azween, Abdullah

    Published 2010
    “…In fact, it has been referred to as the most important problem in machine or computer vision. Researchers have developed many algorithms to solve the problem of object recognition that are machine vision motivated. …”
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    Thesis
  17. 17

    Development of an intelligent multimodal biometric system for household appliances control by Abiodun musa, Aibinu

    Published 2012
    “…In the first phase, individual biometrics recognition algorithms were developed for each biometrics feature. …”
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    Monograph
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    User authentication in public cloud computing through adoption of electronic personal synthesis behavior by Mohanaad Talal Shakir

    Published 2023
    “…Moreover, the learning process of the proposed algorithm for behavior recognition designed as a matching factor with a password during the authentication process. …”
    text::Thesis
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    Neural network training using hybrid particle-move artificial bee colony algorithm for pattern classification by Al Nuaimi, Zakaria Noor Aldeen Mahmood, Abdullah, Rosni

    Published 2017
    “…By optimizing the training of the neural networks using optimal weight set, better results can be obtained by the neural networks.Traditional neural networks algorithms such as Back Propagation (BP) were used for ANNT, but they have some drawbacks such as computational complexity and getting trapped in the local minima.Therefore, evolutionary algorithms like the Swarm Intelligence (SI) algorithms have been employed in ANNT to overcome such issues.Artificial Bees Colony (ABC) optimization algorithm is one of the competitive algorithms in the SI algorithms group. …”
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    Article
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    Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi by Abd. Hamid, Ahmad Ghadaffi

    Published 2005
    “…An important feature in ‘EkstrakPro’ is that ontology extraction, where unit object is introduced to simplify the ontology maintenance. The sequential recognition algorithm is to solve the time consuming issues for extracting sequential data. …”
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    Thesis