Search Results - (( java implication based algorithm ) OR ( dramatic segmentation research algorithm ))

  • Showing 1 - 6 results of 6
Refine Results
  1. 1

    Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification by Huey Chern, Lim

    Published 2024
    “…Hence, this study proposed hybrid deep learning algorithms for ASD classification. Two algorithms merged: U-net neural network and Radial Basis Function (RBF) for medical image segmentation. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  2. 2

    Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

    Published 2022
    “…It has achieved encouraging results in numerous applications in engineering, medical, and other research fields. Thanks to the advancement in hardware, data collection procedures, and efficient algorithms. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3
  4. 4

    Green vehicle traffic routing system using ant-based algorithm by Jabbarpour, M.R., Noor, R.M., Khokhar, R.H.

    Published 2015
    “…Hence, in this paper, we present a green VTRS that reduces fuel consumption and consequently CO2 emissions via ant-based algorithm combined with fuel consumption model. This VTRS is an Ant-based Vehicle Congestion Avoidance System (AVCAS) that uses Signalized Intersection Design and Research Aid (SIDRA) fuel consumption and emission model in its vehicle routing procedure. …”
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

    Published 2015
    “…Vehicle Traffic Routing System (VTRS) is one of the ITS applications that can be used for efficient utilization of existing roads’ capacity. Previous researches concentrated on using static algorithms to find the shortest path in VTRSs. …”
    Get full text
    Get full text
    Thesis