Search Results - (( java implication force algorithm ) OR ( gate extraction method algorithm ))

  • Showing 1 - 10 results of 10
Refine Results
  1. 1

    Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification by Mohamed Ali, Mohamed Hassan

    Published 2017
    “…The proposed algorithm was implemented on hardware using Verilog-HDL, and targeting Field Programmable Gate Array (FPGA) applications. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak by Abd Razak, Hana'

    Published 2020
    “…Normal behaviours are varied to activities associated at the gate and housebreaking crime is selected as anomalous behaviour at the gate. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Speaker recognition using neural network by Zul Rasyied, Ab. Rasat

    Published 2012
    “…The feature for the speaker who has to be identified are extracted and compared with the stored templates by using Backpropagation Algorithm. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  4. 4

    VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence by Hasan, Muhammad Asfarul, Ibrahimy, Muhammad Ibn, Uddin, Md. Jasim, Hussain, Mohammed Sazzad, Reaz, Mamun Ibn

    Published 2009
    “…The purpose of this paper is to model the developed algorithms on FECG signal extraction using VHDL (very high speed integrated circuit hardware description language) for FPGA (field programmable gate array) implementation from the abdominal ECG signal using neural network approach is to provide efficient and effective ways of separating FECG signal and its nature. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  5. 5

    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…Moreover, the proposed classifier technique is significantly faster than the recent well known methods, and it improves the efficiency by 71%, 3%, and 4% on feature extraction stage, feature reduction stage, and classification stage, respectively. …”
    Get full text
    Get full text
    Get full text
    Thesis
  6. 6
  7. 7

    Optimization of Amplitude Versus Offset Attributes for Lithology and Hydrocarbon Indicators Using Recurrent Neural Network by Refael, R., Hermana, M., Hossain, T.M.

    Published 2022
    “…The model consisted of the improved algorithm of standard RNN called gated recurrent unit layers, followed by a simple RNN layer, and fully connected dense layers to predict SQp and SQs as lithology and hydrocarbon indicators, respectively. …”
    Get full text
    Get full text
    Article
  8. 8

    Enhancing land cover classification in remote sensing imagery using an optimal deep learning model by Motwake, Abdelwahed, Hassan Abdalla Hashim, Aisha, Obayya, Marwa, Eltahir, Majdy M.

    Published 2023
    “…The ISCSODL-LCC technique utilizes advanced machine learning methods by employing the Squeeze-Excitation ResNet (SE-ResNet) model for feature extraction and the Stacked Gated Recurrent Unit (SGRU) mechanism for land cover classification. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis by Draman @ Muda, Azah Kamilah, Choo, Yun Huoy, Draman @ Muda, Noor Azilah

    Published 2014
    “…Many researches have been done to develop algorithms for extracting good features that can reflect the authorship with good performance. …”
    Get full text
    Get full text
    Book Chapter
  10. 10

    A new swarm-based framework for handwritten authorship identification in forensic document analysis by Pratama, Satrya Fajri, Draman @ Muda, Azah Kamilah, Choo, Yun Huoy, Draman @ Muda, Noor Azilah

    Published 2014
    “…Many researches have been done to develop algorithms for extracting good features that can reflect the authorship with good performance. …”
    Get full text
    Get full text
    Book Chapter