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  1. 1
    A fuzzy approach for early human action detection / Ekta Vats

    A fuzzy approach for early human action detection / Ekta Vats by Ekta, Vats

    Published 2016
    “…In order to perform early human action detection, the conventional classification problem is modified into frame-by-frame level classification. …”
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  2. 2
    Frame selection based on modified entropy and object motion for secured data hiding in videos

    Frame selection based on modified entropy and object motion for secured data hiding in videos by Muhammad Fuad, Abdullah

    Published 2021
    “…The video frames that had object motion were computed by modified entropy. …”
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  3. 3
    Particle Swarm Optimization algorithm for facial emotion detection

    Particle Swarm Optimization algorithm for facial emotion detection by Ghandi, B.M., Nagarajan, R., Hazry, Desa, Prof. Madya Dr.

    Published 2010
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  4. 4
    Shunt active power filter with modified synchronous reference frame technique and fuzzy logic current controller for harmonic mitigation

    Shunt active power filter with modified synchronous reference frame technique and fuzzy logic current controller for harmonic mitigation by Suleiman, Musa

    Published 2017
    “…For efficient compensation, SAPF greatly depends on fast and accurate detection of reference harmonic current. To generate the reference signals, modified synchronous reference frame (MSRF) technique is chosen. …”
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  5. 5
    Facial emotion detection using Guided Particle Swarm Optimization (GPSO)

    Facial emotion detection using Guided Particle Swarm Optimization (GPSO) by Bashir, Mohammed Ghandi, Nagarajan, R., Hazry, Desa

    Published 2009
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  6. 6
    Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform

    Development Of A Robust Blind Digital Video Watermarking Algorithm Using Discrete Wavelet Transform by Al-Deen, Ahmed A. Baha'a

    Published 2007
    “…On the other hand, a random key is used to choose the frames to be watermarked to increase the security level of the algorithm and discourage piracy. …”
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  7. 7
    Video colorization using canny optimization technique / Irwin Kevin Mueson

    Video colorization using canny optimization technique / Irwin Kevin Mueson by Irwin Kevin Mueson

    Published 2016
    “…This is a hybrid technique from Colorization using Optimization, which was modified and improved the algorithms by adding Canny Edge Detection to improve the colorization process on the grayscale image or frames. …”
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  8. 8
    A new security framework to prevent denial of service and replay attacks for IEEE 802.11 wireless networks

    A new security framework to prevent denial of service and replay attacks for IEEE 802.11 wireless networks by Malekzadeh, Mina

    Published 2011
    “…The proposed models prevent DoS and replay attacks by detecting and discarding forgery control frames belong to the attackers and thereby guarantee availability of the IEEE 802.11 wireless networks. …”
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  9. 9
    Enhanced Spatial Pyramid Pooling And Intersection Over Union In Yolov4 For Real-time Grocery Recognition System

    Enhanced Spatial Pyramid Pooling And Intersection Over Union In Yolov4 For Real-time Grocery Recognition System by Saqib Jamal Syed, Putra Sumari, Hailiza Kamarulhaili, Valliappan Raman, Wan Rahiman, Sundresan A/L Perumal

    Published 2024
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  10. 10
    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
    “…The created face tracking algorithms are then modified to display the detected facial points which are 121 points and 1347 points in total for Kinect v1 and Kinect v2 respectively. …”
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  11. 11
    WIMAX INNER RECEIVER DESIGN

    WIMAX INNER RECEIVER DESIGN by Ang, Ken Li

    Published 2007
    “…Frame timing synchronization is achieved accurately without uncertainties of detecting a plateau. …”
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  12. 12
    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
    “…The created face tracking algorithms are then modified to display the detected facial points which are 121 points and 1347 points in total for Kinect v1 and Kinect v2 respectively. …”
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