Search Results - (( parameter estimation learning algorithm ) OR ( frames detection using algorithm ))

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  1. 1

    Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Nor Farizan, Zakaria, Mohd Mawardi, Saari

    Published 2023
    “…This paper presents the application of a recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) for optimizing the Deep Learning (DL) parameters to estimate the state of charge (SOC) of a battery for an electric vehicle in the real environment. …”
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    Article
  2. 2

    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohamad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…Therefore, it is crucial to assess the parameter of chaotic systems. To solve the issue of parameter estimation for a chaotic system, deep learning is utilized. …”
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    Conference or Workshop Item
  3. 3

    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM by LO , TIMOTHY YIN HONG

    Published 2019
    “…A video sequence consists of sequences of frame, with the detection algorithm, these frames can be analyzed and detect any” “abnormal behavior such as crime.” …”
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    Final Year Project
  4. 4

    An FPGA based embedded vision system for real-time motion detection by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2015
    “…The system was able to process 10 pixels at one clock cycle to detect object by using only 643 logic blocks.…”
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    Proceeding Paper
  5. 5

    An Algorithm for Vehicle Detection and Tracking by Malik , Aamir Saeed

    Published 2010
    “…In this paper, we propose a vehicle detection and tracking algorithm. The detection is done using the median filtering and blob extraction. …”
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    Conference or Workshop Item
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    Depth frame loss concealment for wireless transmission utilising motion detection information by Ranjbari, Mohamadreza

    Published 2014
    “…The methods are able to facilitate a frame copy algorithm and a high correlation of colour and depth frames to conceal depth frame loss. …”
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    Thesis
  8. 8

    Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

    Published 2017
    “…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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    Thesis
  9. 9

    An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems by Remli, Muhammad Akmal, Mohamad, Mohd Saberi, Deris, Safaai, Sinnott, Richard, Napis, Suhaimi

    Published 2019
    “…Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. …”
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    Article
  10. 10

    An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization by Mizher, Manar Abduljabbar Ahmad, Ang, Mei Choo, Sheikh Abdullah, Siti Norul Huda, Kok, Weng Ng

    Published 2019
    “…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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    Article
  11. 11

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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    Article
  12. 12

    Ulcer detection and classification of wireless capsule endoscopy images using RGB masking by Suman, S., Hussi, F.A., Nicolas, W., Malik, A.S.

    Published 2016
    “…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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    Article
  13. 13

    802.11 MAC layer sniffer using spoof detection algorithm / Azwan Abdul Satar by Abdul Satar, Azwan

    Published 2007
    “…The wireless sniffer implements sequence number-based spoofing detection algorithm in its processing. The information provided on both security and connectivity problem of wireless network can be generated by sniffing real-time frames capture using wireless adaptor or automation of log analysis on static pcap file. …”
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    Thesis
  14. 14

    Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

    Published 2016
    “…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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    Article
  15. 15

    Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram by Faris Francis Singaram, Fareena

    Published 2021
    “…The parameters involved to estimate the mangrove age are differences feature selection and different supervised machine learning algorithm. …”
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    Thesis
  16. 16

    A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika, Shafie, Amir Akramin, Bouhabba, El Mehdi

    Published 2010
    “…Recently Viola et al. in [10]have introduced a rapid object detection scheme; we use this approach to detect the hand posture in the first set of consecutive frames. …”
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    Proceeding Paper
  17. 17

    Shot boundary detection based on orthogonal polynomial by Abdulhussain, Sadiq H., Ramli, Abd Rahman, Mahmmod, Basheera M., Saripan, Mohd Iqbal, Al-Haddad, Syed Abdul Rahman, Jassim, Wissam A.

    Published 2019
    “…The Features are derived from orthogonal transform domain (moments) to detect the hard transitions in video sequences. Moments are used because of their ability to represent signal (video frame) without information redundancy. …”
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    Article
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    Video surveillance: Item monitoring against theft by Chong, Yiing Sheah

    Published 2023
    “…After that, the system will get the current frame to find the common features with the background frame by using a feature matching algorithm. …”
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    Final Year Project / Dissertation / Thesis