Search Results - optimal pattern recognition

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  1. 1

    Sheet C1 Pattern Number Recognition Using Artificial Immune System Optimization by Yuniarti Denita, Sari, Tri Basuki, Kurniawan, Edi Surya, Negara, Tata, Sutabri

    Published 2022
    “…The CSA method will be used in this research to accomplish number pattern recognition and to examine the operation of number pattern character recognition.…”
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    Article
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    Demonstration Of Palm Vein Pattern Biometric Recognition By Machine Learning by Mohd Noh, Zarina, Ramlee, Ridza Azri, Ahmad Radzi, Syafeeza, Ramlee, Ridza Azri

    Published 2020
    “…This paper aims to demonstrate the extraction of palm vein pattern features by local binary pattern (LBP) and its different recognition rate by two types of classification methods. …”
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    Article
  4. 4

    Design optimization for the two-stage bivariate pattern recognition scheme by Mokhtar, Mohd Shukri

    Published 2015
    “…The monitoring and diagnosis performances were evaluated based on the average run length (ARL0, ARL1) and recognition accuracy (RA) respectively. The selected optimal design parameters with λ=0.10, H=8.64 gave better performance among the other designs, namely, average run length, ARL1=3.24 ~ 16.93 (for out-of-control process) and recognition accuracy, RA=89.05 ~ 97.73%. …”
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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. …”
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    Conference or Workshop Item
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    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. …”
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  8. 8

    Design and analysis of DNA sequence alignment module using Smith-Waterman scoring patterns / Wan Abdul Qayyum Moh Salleh by Moh Salleh, Wan Abdul Qayyum

    Published 2013
    “…The system optimizes the aligning DNA fragment using Smith-Waterman algorithm with a pattern recognition algorithm. …”
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    Student Project
  9. 9

    Design and analysis of DNA sequence alignment module using Smith-Waterman scoring pattern: article / Wan Abdul Qayyum Moh Salleh and A.K. Halim by Moh Salleh, Wan Abdul Qayyum, A.K., Halim

    Published 2013
    “…The system optimizes the aligning DNA fragment using Smith-Waterman algorithm with a pattern recognition algorithm. …”
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    Article
  10. 10

    Enhanced Particle Swarm Optimization-Based Models And Their Application To License Plate Recognition by Samma, Hussein Salem Ali

    Published 2016
    “…Numerous methodologies including Computational Intelligence (CI) models have been developed in the literature to tackle image-based pattern recognition problems. Focused on CI models, this research presents efficient Particle Swarm Optimization (PSO)-based models and their application to license plate recognition. …”
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    Thesis
  11. 11

    On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation by Ahmad, Abdul Manan, Loh, Mun Yee

    Published 2008
    “…Speaker recognition from speech signal is still an ongoing research in forensics and biometrics area. …”
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    Article
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    Exploring The Relation Between EMG Pattern Recognition And Sampling Rate Using Spectrogram by Abdullah, Abdul Rahim, Too, Jing Wei, Mohd Ali, Nursabillilah, Tengku Zawawi, Tengku Nor Shuhada, Mohd Saad, Norhashimah

    Published 2019
    “…With the existing multiple-channel EMG recording system, the detection and classification of EMG pattern have become viable. The purpose of this study is to investigate the relation between sampling rate and EMG pattern recognition by using spectrogram. …”
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    Article
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    Comprehensive design and development of time efficiency speaker recognition model from front end to back end by Ahmad, Abdul Manan, Loh, Mun Yee

    Published 2008
    “…However, pattern classification from speech signal remains as challenging problem encountered in general speaker recognition system, including speaker verification and speaker identification. …”
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    Article
  15. 15

    Development of isolated Malay words speech recognition prototype using recurrent neural network / Irdhan Sarbini by Sarbini, Irdhan

    Published 2005
    “…The total recognition rate is 95 %. This research also reveals that RNN is able to give good performance for speech recognition and for incomplete data.…”
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    Thesis
  16. 16

    Malay spoken word segmentation using magnitude sum function / Fara Ezwana Dardihi by Dardihi, Fara Ezwana

    Published 2010
    “…Speech recognition or voice recognition is the identification of spoken words by a machine. …”
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    Thesis
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    Improving generalization in backpropagation networks architectures by Ali Adlan, Hanan Hassan, Ramli, Abd Rahman, Mohd Babiker, Elsadig Ahmed

    Published 2005
    “…The system is a two stand alone subsystems, in which the output of the first is fed to the second for recognition tasks. The system is investigated for detection and recognition of patterns present in an image. …”
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    Conference or Workshop Item
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    Evaluation of tool wear and machining performance by analyzing vibration signal in friction drilling by Abdul Mutalib, Mohd Zurrayen, Ismail, Mohd Idris Shah, As'arry, Azizan, Abdul Jalil, Nawal Aswan

    Published 2020
    “…To improve their robustness, the reliability pattern recognition techniques have been implemented in tool condition monitoring systems. …”
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    Article
  20. 20

    Development of neural network-based electronic nose for herbs recognition by Che Soh, Azura, Chow, Kar Kit, Mohammad Yusuf, U. K., Ishak, Asnor Juraiza, Hassan, Mohd Khair, Khamis, Shamsul

    Published 2014
    “…This project emphasizes on the techniques of artificial intelligence (AI) to distinguish distinctive odor pattern for herbs. Neural Network method has been exploited for the classification and optimization of various odor patterns. …”
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    Article