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  1. 1
    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II

    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II by Roslan, Umar, Nur Zulaikha, Mohd Afandi, Zamri, Zainal Abidin

    Published 2016
    “…The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. …”
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  2. 2
    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II

    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II by Afandi, N.Z.M., Abidin, Z.Z., Umar, R., Sabri, N.H., Ibrahim, Z.A., Monstein, C.

    Published 2016
    “…The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. …”
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  3. 3
    Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization

    Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization by Akmeliawati, Rini, Widhiputranto, H. K.

    Published 2008
    “…The estimation fundamental frequency is performed with Harmonic Product Spectrum (HPS) algorithm, whilst MFCC is calculated using Discrete Cosine Transform, then, is modeled with Vector Quantization to compress the size of data to be processed and to assist identification.…”
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    Proceeding Paper
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  4. 4
    Missing tags detection algorithm for radio frequency identification (RFID) data stream

    Missing tags detection algorithm for radio frequency identification (RFID) data stream by Zainudin, Nur 'Aifaa

    Published 2019
    “…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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  5. 5
    Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat

    Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat by Amat, Mohd Faizul Azmy

    Published 2007
    “…Now a day world technology of RFID will used in a global security of identifications. This technical paper is consist the analysis of development of RFID for low range frequency coverage for passive RFID 13.56MHz. …”
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  6. 6
    Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat

    Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat by Amat, Mohd Faizul Azmy

    Published 2007
    “…RFID (Radio Frequency Identification) is a technology that incorporates the use of electromagnetic or electrostatic An Radio Frequency Identification RFID system may consist of several component like tags and tags reader. …”
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  7. 7
    Identification of Electrooculography Signals Frequency Energy Distribution Using Wavelet Algorithm

    Identification of Electrooculography Signals Frequency Energy Distribution Using Wavelet Algorithm by W. Daud, W. M. Bukhari, Sudirman, Rubita, Omar, Camallil

    Published 2011
    “…Approach: We describe the identification of Electro-Oculograph (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. …”
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  8. 8
    Hybrid intelligent methods for parameter identification and load frequency control in power system

    Hybrid intelligent methods for parameter identification and load frequency control in power system by Aqeel Sakhy, Jaber

    Published 2014
    “…The outcomes of the proposed parameters identification and LFC control methods are presented the results through simulation using Matlab by making a comparison on the frequency transient response. …”
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  9. 9
    Effect of parameters variation on the performance of particle swarm optimization algorithm for tag coverage problem of radio frequency identification network

    Effect of parameters variation on the performance of particle swarm optimization algorithm for tag coverage problem of radio frequency identification network by Nawawi, Azli, Hasnan, Khalid, Ngali, Zamani, Sidek, Noor Azizah

    Published 2016
    “…From the literature, optimal tag coverage can be considered as a high dimensional optimization problem and often solved using nature-inspired algorithms. In this paper, PSO (Particle Swarm Optimization) algorithm is used to optimize the tag coverage problem. …”
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  10. 10
    Gender identification of children using hidden Markov model based on Mel-frequency cepstral coefficient / Adira Ibrahim

    Gender identification of children using hidden Markov model based on Mel-frequency cepstral coefficient / Adira Ibrahim by Adira, Ibrahim

    Published 2013
    “…HMM was trained with Baum-Welch algorithm and tested with Viterbi algorithm to get the gender identification accuracy. …”
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  11. 11
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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  12. 12
    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm

    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm by Abdulwahid S., Mahmoud M.A., Abdulwahid N.

    Published 2023
    Conference Paper
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  13. 13
    EEG Different Frequency Sound Response Identification using Neural Network and Fuzzy Techniques

    EEG Different Frequency Sound Response Identification using Neural Network and Fuzzy Techniques by Wan Daud, Wan Mohd Bukhari, Sudirman , R, Koh, A. C, Safri, N.M, Mahmood, N.H

    Published 2010
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  14. 14
    Language identification system using Matlab: design, implementation, and sample codes

    Language identification system using Matlab: design, implementation, and sample codes by Husain, Rashida, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2017
    “…This book investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
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  15. 15
    Development of language identification system using MFCC and vector quantization

    Development of language identification system using MFCC and vector quantization by Gunawan, Teddy Surya, Husain, Rashida, Kartiwi, Mira

    Published 2017
    “…This paper investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
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  16. 16
    Feature extraction using spectral centroid and mel frequency cepstral coefficient for Quranic accent automatic identification

    Feature extraction using spectral centroid and mel frequency cepstral coefficient for Quranic accent automatic identification by Kamarudin, Noraziahtulhidayu, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari, Nematollahi, Mohammad Ali, Hassan, Abd Rauf

    Published 2014
    “…This paper presents the process of Quranic Accent Automatic Identification. Recent feature extraction technique that is used for Quranic verse rule identification/Tajweed include Mel Frequency Cepstral Coefficients (MFCC) which prone to additive noise and may reduce the classification result. …”
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  17. 17
    Identification of continuous-time hammerstein system using sine cosine algorithm

    Identification of continuous-time hammerstein system using sine cosine algorithm by E. F., Junis, J. J., Jui, Mohd Helmi, Suid, Mohd Ashraf, Ahmad

    Published 2019
    “…This paper presents the development of identification of continuous-time Hammerstein systems based on Sine Cosine Algorithm (SCA). …”
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  18. 18
    Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification

    Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification by Hakim, S.J.S., Abdul Razak, H.

    Published 2013
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  19. 19
    System Identification of XY Table ballscrew drive using parametric and non parametric frequency domain estimation via deterministic approach

    System Identification of XY Table ballscrew drive using parametric and non parametric frequency domain estimation via deterministic approach by Abdullah, Lokman, Jamaludin, Zamberi, Tsung Heng, Chiew, RAFAN, NUR AIDAWATY, syed mohamed, muhammad syafiq

    Published 2012
    “…An example of well known techniques are using time domain and frequency domain approach. …”
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  20. 20
    Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes

    Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yahya, Syed Yusaini

    Published 2014
    “…Interpretation of propagated high frequency stress wave signals in steel tubes is noteworthy for defect identification.This paper demonstrated a successful new approach for autonomous defect detection in steel tubes using classification analysis of high frequency stress waves.Classification analysis using Principal Component Analysis (PCA) algorithm involved feature extraction to reduce the dimensionality of the complex stress waves propagation path.Two defective tubes containing a slot defect of different orientation and a reference tube are inspected using Vibration Impact Acoustic Emission (VIAE) technique.The tubes are externally excited using impact hammer.The variation of stress wave transmission path are captured by high frequency Acoustic Emission sensor.The propagated stress waves in the steel tubes are classified using PCA algorithm.Classification results are graphically illustrated using a dendrogram that demonstrated the arrangement of the natural clusters of the stress wave signals.The inspection of steel tubes showed good recognition of defect in circumferential and longitudinal orientation.This approach successfully classified stress wave signals from VIAE testing and provide fast and accurate defect identification of defective steel tubes from non-defective tubes. …”
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