Transfer learning data adaptation using conflation of low‐level textural features

Article Properties
  • Language
    English
  • DOI (url)
    10.1002/eng2.12603
  • Publication Date
    2022/12/08
  • Journal
    Engineering Reports
  • Indian UGC (journal)
  • Refrences
    113
  • Raphael Ngigi Wanjiku School of Computing and Information Technology Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya ORCID (unauthenticated)
  • Lawrence Nderu School of Computing and Information Technology Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
  • Michael Kimwele School of Computing and Information Technology Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
Abstract
Cite
Wanjiku, Raphael Ngigi, et al. “Transfer Learning Data Adaptation Using Conflation of low‐level Textural Features”. Engineering Reports, vol. 5, no. 5, 2022, https://doi.org/10.1002/eng2.12603.
Wanjiku, R. N., Nderu, L., & Kimwele, M. (2022). Transfer learning data adaptation using conflation of low‐level textural features. Engineering Reports, 5(5). https://doi.org/10.1002/eng2.12603
Wanjiku, Raphael Ngigi, Lawrence Nderu, and Michael Kimwele. “Transfer Learning Data Adaptation Using Conflation of low‐level Textural Features”. Engineering Reports 5, no. 5 (2022). https://doi.org/10.1002/eng2.12603.
Wanjiku RN, Nderu L, Kimwele M. Transfer learning data adaptation using conflation of low‐level textural features. Engineering Reports. 2022;5(5).
Journal Categories
Science
Chemistry
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Engineering (General)
Civil engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Dropout: A simple way to prevent neural networks from overfitting 2014
Texture classification approach based on energy variation 2012
3D texture feature extraction and classification using GLCM and LBP‐based descriptors 2021
Multi‐level fusion in ultrasound for cancer detection based on uniform LBP features 2020
Comparative analysis and application of LBP face image recognition algorithms 2019