Search Results - (( model detection algorithm ) OR ( mode selection algorithm ))

Search alternatives:

Refine Results
  1. 1
    Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad

    Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad by Ja’far Saifeddin , Abdelhafiz Jallad

    Published 2018
    “…A metaheuristic algorithm in the UFLS scheme can be used to select the best load combination in real time. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals

    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals by Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Zarith Liyana, Zahari

    Published 2022
    “…Hence, a simplified feature selection method is necessary. This work proposed a dual-layer ranking feature selection algorithm based on statistical formula f EMG signals for driver fatigue detection. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals

    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals by Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Zarith Liyana, Zahari

    Published 2022
    “…Hence, a simplified feature selection method is necessary. This work proposed a dual-layer ranking feature selection algorithm based on statistical formula f EMG signals for driver fatigue detection. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    LED based NIR spectroscopy for detection of lard adulteration in palm oil via chemometrics / Katrul Nadia Basri

    LED based NIR spectroscopy for detection of lard adulteration in palm oil via chemometrics / Katrul Nadia Basri by Basri, Katrul Nadia

    Published 2017
    “…Pure and adulterated palm oil sample were classified using soft independent modeling class analogy (SIMCA) algorithm with model accuracy more than 0.95 reported for both transflectance and transmission modes. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    An efficient detection model of selective forwarding attacks in wireless mesh networks

    An efficient detection model of selective forwarding attacks in wireless mesh networks by Khanam, Shapla, Saleem, Habibullah Yusuf, Pathan, Al-Sakib Khan

    Published 2012
    “…In our approach, we also propose a multi-hop acknowledgement based algorithm to analyze and detect the malicious behavior to defend against selective forwarding attacks in WMNs. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Classification and quantification of palm oil adulteration via portable NIR spectroscopy

    Classification and quantification of palm oil adulteration via portable NIR spectroscopy by Basri, Katrul Nadia, Hussain, Mutia Nurulhusna, Bakar, Jamilah, Sharif, Zaiton, Abdul Khir, Mohd Fared, Zoolfakar, Ahmad Sabirin

    Published 2017
    “…Pure and adulterated palm oil sample were classified using soft independent modeling class analogy (SIMCA) algorithm with model accuracy more than 0.95 reported for both transflectance and transmission modes. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Classification and quantification of palm oil adulteration via portable NIR spectroscopy

    Classification and quantification of palm oil adulteration via portable NIR spectroscopy by Basri, Katrul Nadia, Hussain, Mutia Nurulhusna, Bakar, Jamilah, Sharif, Zaiton and, Zoolfakar, Ahmad Sabirin, Mohd Fared Abdul Khir

    Published 2024
    “…Pure and adulterated palm oil sample were classified using soft independent modeling class analogy (SIMCA) algorithm with model accuracy more than 0.95 reported for both transflectance and transmission modes. …”
    Article
    Save to List
    Saved in:
  8. 8
    A Study of Ikaz and Normalized Hilbert transform for solving faulty in pipeline distribution system using transmission line modelling

    A Study of Ikaz and Normalized Hilbert transform for solving faulty in pipeline distribution system using transmission line modelling by Hanafi, M. Yusop, M. F., Ghazali, Azmi, W. H., Mohd Fadhlan, Mohd Yusof, M. A., Pi Remli, M. A. A., Rahim

    Published 2019
    “…This paper proposed the uses of Integrated Kurtosis-based Algorithm for z-filter Technique (Ikaz) for that allows automatic selection of suitable and relevant IMF. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  9. 9
    Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms

    Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms by Choong, Chun Sern

    Published 2020
    “…In order to further validate the position of the tagging in the pallet box of the Random Forest model developed, a different predefined location was used to validate the model. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Exploration of ikaz and normalized hilbert transform for solving faulty in pipeline distribution system using transmission line modelling

    Exploration of ikaz and normalized hilbert transform for solving faulty in pipeline distribution system using transmission line modelling by Hanafi, M. Yusop, M. F., Ghazali, W. H., Azmi, M. F. M., Yusof, M. A., PiRemli, M. A., A. Rahim

    Published 2018
    “…This paper proposed the uses of Integrated Kurtosisbased Algorithm for z-filter Technique (Ikaz) for that allows automatic selection of suitable and relevant IMF. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  11. 11
    Application of Ikaz and direct quadrature for solving leakage in pipeline distribution by using transmission line modelling

    Application of Ikaz and direct quadrature for solving leakage in pipeline distribution by using transmission line modelling by Hanafi, M. Yusop, M. F., Ghazali, W. H., Azmi, Mohd Fadhlan, Mohd Yusof, M. A., PiRemli, M. Z., Noordin

    Published 2019
    “…Thus the paper proposed the implementation of Integrated Kurtosis-based algorithm Z-filter technique for that allows automatic selection of relevant and appropriates IMF. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  12. 12
    Automated cystic mass extraction from ultrasound phantom images

    Automated cystic mass extraction from ultrasound phantom images by Khatib, Farzan, Mahmud, Rozi, Mashohor, Syamsiah, Saripan, M. Iqbal, Raja Abdullah, Raja Syamsul Azmir

    Published 2012
    “…To make it a general algorithm, 6 most popular ultrasound machines were selected and following parameters were swept: modes of operation, transducer, frequency and contrast, while making phantom images. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  13. 13
    Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah

    Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah by Adewole Kayode, Sakariyah

    Published 2018
    “…To achieve this aim, this study proposed a novel framework, which combines three models: Spam Account Detection Model (SADM), Spam Message Detection Model (SMDM), and Spam Risk Assessment Model (SRAM). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu

    Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu by Abdul Mannan, Dadu

    Published 2018
    “…In this dissertation, a near state vector selection-based model predictive control (NSV-MPC) scheme is also proposed to mitigate the common-mode voltage (CMV) with reduced computational burden. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Fast mode decision algorithm

    Fast mode decision algorithm by Maarif, Haris Al Qodri, Gunawan, Teddy Surya, Khalifa, Othman Omran

    Published 2011
    “…Fast mode decision is the developed algorithm intended for selectively choosing the mode decision used by the encoder. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
    Save to List
    Saved in:
  16. 16
    Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin

    Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin by Mohd Shahirudin, Syamir

    Published 2022
    “…The objective of this project is to develop the Windows malware detection model using supervised machine learning in Decision Tree, K-NN and Naïve Bayes, to evaluate the performance of malware detection in term of testing and training of the features selection and to compare the accuracy detection model in all three machine learning algorithms. …”
    Get full text
    Get full text
    Student Project
    Save to List
    Saved in:
  17. 17
    Mobile machine vision for railway surveillance system using deep learning algorithm

    Mobile machine vision for railway surveillance system using deep learning algorithm by Kit, Guan Lim, Daniel Siruno, Min, Keng Tan, Chung, Fan Liau, Sha, Huang, Tze, Kenneth Kin Teo

    Published 2021
    “…In this paper, object detection model is developed and implemented with deep learning algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceedings
    Save to List
    Saved in:
  18. 18
    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection

    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

    Published 2020
    “…An improved version of Salp Swarm Algorithm (ISSA) is proposed in this study to solve feature selection problems and select the optimal subset of features in wrapper-mode. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Enhancing Model Selection Based On Penalized Regression Methods And Empirical Mode Decomposition

    Enhancing Model Selection Based On Penalized Regression Methods And Empirical Mode Decomposition by Al Jawarneh, Abdullah Suleiman Saleh

    Published 2021
    “…Those methods are combined with the first part of the Hilbert–Huang transformation, namely, the empirical mode decomposition (EMD) algorithm. The EMD algorithm is employed to decompose the nonstationary and nonlinear time series dataset into a finite set of orthogonal decomposition components, which includes a set of intrinsic mode function and residual components. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman

    Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman by Seman, Ali

    Published 2013
    “…For the overall performances which were based on the six data sets, the &-AMH algorithm recorded the highest mean accuracy scores of 0.93 as compared to the other algorithms: the ^-Population (0.91), the &-Modes-RVF (0.81), the New Fuzzy &-Modes (0.80), A:-Modes (0.76), &-Modes-HI (0.76), £-Modes- HII (0.75), Fuzzy £-Modes (0.74) and £-Modes-UAVM (0.70). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: