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  1. 1
    Quantitative analysis of Orthosiphon stamineus benth with a disposable sensor trip

    Quantitative analysis of Orthosiphon stamineus benth with a disposable sensor trip by Mohd Noor, Ahmad, M.M.S. Yap, Chang, Chew Chen, Ali Yeon, Md Shakaff, Shafiqul Islam, A.K.M.

    Published 2009
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  2. 2
    Feature extraction and supervised learning for volatile organic compounds gas recognition

    Feature extraction and supervised learning for volatile organic compounds gas recognition by Mohd Tombel, Nor Syahira, Mohd Zaki, Hasan Firdaus, Mohd Fadglullah, Hanna Farihin

    Published 2023
    “…Ten feature extraction methods were proposed based on changes in sensor response as inputs to classify three types of gases in the dataset. …”
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  3. 3
    Hardware development of autonomous mobile robot based on actuating lidar

    Hardware development of autonomous mobile robot based on actuating lidar by Mohd Romlay, Muhammad Rabani, Mohd Ibrahim, Azhar, Toha, Siti Fauziah, Rashid, Muhammad Mahbubur, Ahmad, Muhammad Syahmi

    Published 2022
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  4. 4
    Disposable array sensor strip for quantification of sinensetin in Orthosiphon stamineus Benth samples

    Disposable array sensor strip for quantification of sinensetin in Orthosiphon stamineus Benth samples by Mohd Noor, Ahmad, Yap Mee Sim, Maxsim, Chang Chew, Cheen, A. K. M., Shafiqul Islam, Zhari, Ismail, Misni, Surif, Ali Yeon, Md Shakaff, Larisa, Lvova

    Published 2009
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  5. 5
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
    “…The results obtained in these experiments would provide some overview in deploying machine learning algorithm for characterizing the Brillouin-based fibre sensor signals.…”
    text::Thesis
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  6. 6
    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data

    Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2007
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  7. 7
    Bayesian Network Classifiers for Damage Detection in Engineering Material

    Bayesian Network Classifiers for Damage Detection in Engineering Material by Mohamed Addin, Addin Osman

    Published 2007
    “…The methodology used in the thesis to implement the Bayesian network for the damage detection provides a preliminary analysis used in proposing a novel fea- ture extraction algorithm (f-FFE: the f-folds feature extraction algorithm). …”
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  8. 8
    Integrated multichannel Young’s interferometer sensor based on long-range surface plasmon waveguides

    Integrated multichannel Young’s interferometer sensor based on long-range surface plasmon waveguides by Wong, Wei Ru, Berini, Pierre

    Published 2019
    “…The multichannel YI enables simultaneous and independent phase-based monitoring of refractive index changes in multiple channels. The diverging output beams from the waveguides are overlapped in the far field to form interference patterns which are then post-processed using the fast Fourier transform (FFT) algorithm to extract phase values. …”
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  9. 9
    Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform

    Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform by Lim, P.K., Ng, S.C., Jassim, W.A., Redmond, S.J., Zilany, M., Avolio, A., Lim, E., Tan, M.P., Lovell, N.H.

    Published 2015
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  10. 10
    Modeling of vehicle trajectory clustering based on LCSS for traffic pattern extraction

    Modeling of vehicle trajectory clustering based on LCSS for traffic pattern extraction by Choong, Mei Yeen, Lorita Angeline, Chin, Renee Ka Yin, Yeo, Kiam Beng, Teo, Kenneth Tze Kin

    Published 2017
    “…However, behavioural manoeuvres that describe the pattern of vehicles movements and change of the vehicle flow are not sufficiently modeled based on the conventional inductive-loop traffic sensors. …”
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    Proceedings
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  11. 11
    An automated high-accuracy detection scheme for myocardial ischemia based on multi-lead long-interval ECG and Choi-Williams time-frequency analysis incorporating a multi-class SVM classifier

    An automated high-accuracy detection scheme for myocardial ischemia based on multi-lead long-interval ECG and Choi-Williams time-frequency analysis incorporating a multi-class SVM... by Hussein, Ahmed Faeq, Hashim, Shaiful Jahari, Rokhani, Fakhrul Zaman, Wan Adnan, Wan Azizun

    Published 2021
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  12. 12
    An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach

    An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach by Khan, T., Singh, K., Shariq, M., Ahmad, K., Savita, K.S., Ahmadian, A., Salahshour, S., Conti, M.

    Published 2023
    “…The proposed machine learning algorithm extracts various trust features such as Co-Location Relationship (CLR), Co-Work Relationship (CWR), Cooperativeness-Frequency-Duration (CFD), and Reward (R) to obtain a robust trust rating of sensor devices and predict future misbehavior. …”
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  13. 13
    To study on the effect of tuning rules used on the water level controllability

    To study on the effect of tuning rules used on the water level controllability by Ismail, Arif Iskandar

    Published 2017
    “…The system will be connected with a control valve and level sensor for the control section. The system is able to show the trend of water flowing into the tank and the responses of the measurements. …”
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  14. 14
    To study on the effect of tuning rules used on the water level controllability: article

    To study on the effect of tuning rules used on the water level controllability: article by Ismail, Arif Iskandar, Ishak, Abdul Aziz

    Published 2017
    “…The system will be connected with a control valve and level sensor for the control section. The system is able to show the trend of water flowing into the tank and the responses of the measurements. …”
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  15. 15
    Google the earth: what's next?

    Google the earth: what's next? by Mansor, Shattri

    Published 2010
    “…Satellite imagery/data can be used for everything from ground truthing and change detection, to more sophisticated analyses, including feature extraction and natural hazard prediction. …”
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  16. 16
    Near-infrared technique for oil palm fruit grading system

    Near-infrared technique for oil palm fruit grading system by Saeed, Osama Mohamed Ben

    Published 2013
    “…These color and biochemical changes can be observed utilizing the spectral reflectance of the fruit. …”
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  17. 17
    Seat belt control system : drowsiness detector system

    Seat belt control system : drowsiness detector system by Nur Aisyah, Abdul Rahman

    Published 2022
    “…Thus, the $GPGGA String is one of algorithm that has applied, it is to extract coordinates from the GPS receiver and sends to GSM in tenns of coordinates as latitude and longitude. …”
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    Undergraduates Project Papers
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  18. 18
    Analysis of performance between kinect v1 and kinect v2 for various facial part movements

    Analysis of performance between kinect v1 and kinect v2 for various facial part movements by Heng, Sheng Guang, Rosdiyana, Samad, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah, Pebrianti, Dwi

    Published 2019
    “…A total number of 18 desired facial feature point at similar landmarks will be extracted in the format of 3D coordinates for both Kinect cameras. …”
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  19. 19
    Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements

    Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements by Heng, Sheng Guang, Rosdiyana, Samad, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah, Pebrianti, Dwi

    Published 2019
    “…A total number of 18 desired facial feature point at similar landmarks will be extracted in the format of 3D coordinates for both Kinect cameras. …”
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  20. 20
    Prediction of rice biomass using machine learning algorithms

    Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

    Published 2022
    “…Overall, as most of the agronomic research is conducted based on a few sensors’ bands, vegetation indices are highly collinear. …”
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