Search Results - (( developing dynamic recognition algorithm ) OR ( java implementation modified algorithm ))

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  1. 1

    Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition by Yahya, Anwar Ali, Mahmod, Ramlan, Ramli, Abd Rahman

    Published 2010
    “…In this paper, a new cue-based model for dialogue act recognition is presented. The model is, essentially, a dynamic Bayesian network induced from manually annotated dialogue corpus via dynamic Bayesian machine learning algorithms. …”
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    Article
  2. 2

    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
  3. 3

    VOICE RECOGNITION FOR SECURITY PURPOSES by NOOR ROZALI, NOOR ROHAIZAD

    Published 2007
    “…This report presents the implementation of Voice Recognition System for Security Purposes. The scope of study is to understand the existing algorithms and develop a brand new algorithm which is better in terms of its reliability and accuracy. …”
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    Final Year Project
  4. 4

    A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm by Ahmed Ali Mohammed, Al-saffar

    Published 2024
    “…This research present a dynamic configurator of the CRNN (DC-CRNN), geared for sequence learning in the context of handwriting recognition, inspired by bio-inspired approaches. …”
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    Thesis
  5. 5

    Animal voice recognition for identification (ID) detection system by Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun

    Published 2011
    “…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. …”
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    Conference or Workshop Item
  6. 6

    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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    Object with symmetrical pattern recognition with dynamic size filter by Syed Mohamad Shazali, Syed Abdul Hamid, Mohd Aras, Mohd Shahrieel, Abdul Azis, Fadilah, Ali, Fara Ashikin, Anuar , Mohamed Kassim

    Published 2011
    “…This paper presents the implementation of object with symmetrical pattern recognition algorithm for 2D vision system of 3D vision-based multi sensor feedback system. …”
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    Conference or Workshop Item
  9. 9

    Dog voice identification (ID) for detection system by Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun

    Published 2012
    “…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. …”
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    Conference or Workshop Item
  10. 10

    A sequential handwriting recognition model based on a dynamically configurable CRNN by Al-Saffar, Ahmed, Suryanti, Awang, Al-Saiagh, Wafaa, Al-Khaleefa, Ahmed Salih, Abed, Saad Adnan

    Published 2021
    “…Because most applications of handwriting recognition in real life contain sequential text in various languages, there is a need to develop a dynamic handwriting recognition system. …”
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    Article
  11. 11

    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
  12. 12

    Feature fusion using a modified genetic algorithm for face and signature recognition system by Suryanti, Awang

    Published 2015
    “…This thesis focuses on the development of feature level fusion of bimodal biometrics system for face and dynamic signature recognition system The modalities of biometric are used due to the ability to avoid spoof attack since it is difficult for impostor to imitate two different characteristics (behaviour and physical) at the same time. …”
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    Thesis
  13. 13

    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
  14. 14

    DYNAMIC SIGN LANGUAGE RECOGNITION AND TRANSLATION THROUGH DEEP LEARNING: A SYSTEMATIC LITERATURE REVIEW by YESSANE SHRRIE, NAGENDHRA RAO, Chong, Yuan Ting, Rehman Ullah, Khan, Teh, Chee Siong, Mohamad Hardyman, Barawi, Mohd Shahrizal, Sunar, JOAN SIM, JO JO

    Published 2024
    “…Notably, there have been considerable development in isolated and continuous SLRT models, particularly through the combinations of deep learning algorithms such as Convolutional Neural Network, Recurrent Neural Network and Transformer models, with suitable datasets. …”
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    Article
  15. 15

    An improved method in speech signal input representation based on DTW technique for NN speech recognition system by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

    Published 2007
    “…The paper also proposes the use of pitch feature derived from the recorded speech data as another input feature. The Dynamic Time Warping algorithm (DTW) is the back–bone of the newly developed algorithm called DTW fixing frame algorithm (DTW–FF) which is designed to perform template matching for the input preprocessing. …”
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    Article
  16. 16

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…The hybrid approaches developed in this thesis provide novel techniques to recognition static and dynamic representation of patterns. …”
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    Thesis
  17. 17

    Automated music chord recognition system using Convolutional Neural Network (CNN) / Abdul Qhadir Jailani Azhari by Azhari, Abdul Qhadir Jailani

    Published 2025
    “…The main objectives include analysing existing chord recognition algorithms, creating a prototype for real-time chord identification, and testing its performance with music recordings. …”
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    Thesis
  18. 18

    Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly by Jit, Shen Quah, Md Ghazaly, Mariam

    Published 2018
    “…This is done via integrating a developed face recognition software onto a mobile robot in terms of image captured distance and in extension its accuracy during static and dynamic conditions. …”
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    Article
  19. 19

    A Review on the Development of Indonesian Sign Language Recognition System by Jasni, Mohamad Zain, Sutarman, na, Mazlina, Abdul Majid

    Published 2013
    “…Effective algorithms for segmentation, matching the classification and pattern recognition have evolved. …”
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    Article
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