Deep Learning Techniques for Early Detection of Autism Spectrum Disorder - Systematic Study

Authors

  • Asif Mohamed H B  Research Scholar, School of CSE, Presidency University, Bengaluru, Karnataka, India
  • Dr. Md. Sameeruddin Khan  Professor & Dean, School of CSE, Presidency University, Bengaluru, Karnataka, India
  • Dr. Mohan K G  Professor, Department of CSE, GITAM University, Bengaluru, Karnataka, India
  • Dr. Parashuram Baraki  Professor, Department of CSE, Smt. Kamala and Sri Venkappa M Agadi College of Engineering and Technology, Lakshmeshwar Dist : Gadag, India

DOI:

https://doi.org/10.32628/IJSRST2310160

Keywords:

Deep Learning Techniques, Autism Spectrum Disorder, Image Preprocessing, Object Detection, Feature Extraction

Abstract

This paper narrates the various categories of image classification techniques. Image classification is an important tool for extracting information from digital images. The purpose of this research article is to summarize information on several image classification techniques.

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International Journal of Scientific Research in Science and Technology

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Published

2023-02-28

Issue

Volume 10, Issue 1, January-February-2023

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Asif Mohamed H B, Dr. Md. Sameeruddin Khan, Dr. Mohan K G, Dr. Parashuram Baraki "Deep Learning Techniques for Early Detection of Autism Spectrum Disorder - Systematic Study" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 1, pp.446-450, January-February-2023. Available at doi : https://doi.org/10.32628/IJSRST2310160