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Research Article

Age and Gender Detection Using Deep Learning in Open CV

  • Paper ID 198
  • Volume 5, Issue 5
  • Pages 49-51
  • Published Online: September-October 2024
  • 2 Views
Open Access Peer Reviewed

Authors

  • R. Nivethitha1
  • T.S.P. Ksheerabdinath2
  • A. Mohammed Navas3
  • T.S. Muneesh Wara Venkatesh4

1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamil Nadu, India. 234Final Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamil Nadu, India.

Article Information

DOI
No DOI
Published Online
September-October 2024
Pages
49-51
Article Type
Research Article
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No DOI available for cross-reference

References

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Education on Taylor Francis, Vol. 12, pp. 83–102.
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patterns in the learning of computer programming’ in Journal of Learning Sciences on Taylor Francis, Vol. 23, pp. 561–99.
3. Charlotte Van Petegem, Rien Maertens, Niko Strijbol, Jorg Van Renterghem, Felix Vander Jeugt, Rademeyer Dawyndt, Bart Mesuere
(2023), ‘Dodona: Learn to code with a virtual co-teacher that supports active learning’ in SoftwareX on Science Direct, Vol. 24, pp.
101-578.
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publication of the 25th conference on user modeling, adaptation and personalization. New York, NY, USA: Association for Computing
Machinery, pp. 5–10.
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for early prediction of students’ academic failure in introductory programming courses’ in Computers in Human Behavior on Science
Direct, Vol. 73, pp. 247–256.
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13th annual conference on innovation and technology in computer science education. New York, NY, USA: Association for
Computing Machinery; p. 328.
7. Ferguson R (2012). ‘Learning analytics: Drivers, developments and challenges.’ in International Journal of Technology Enhanced
Learning, pp. 304–17.
8. Fonseca I, Martins NC, Lopes F (2023). ‘A web-based platform and a methodology to teach programming languages in electrical
engineering education – evolution and student feedback’. In: 32nd annual conference of the European Association for Education in
Electrical and Information Engineering, pp. 1–3.
9. Hsi-min Chen, Bao - an Nguyen, Yi-Xiang Yan, and Chyi-Ren Dow (2020), ‘Analysis of Learning Behavior in an Automated
Programming Assessment Environment: A Code Quality Perspective’ in Computer Science and Education on IEEE.
10. Ihantola P, Ahoniemi T, Karavirta V, Seppälä O (2010). ‘Review of recent systems for automatic assessment of programming
assignments’. In: Proceedings of the 10th Koli Calling International Conference on Computing Education Research. New York, NY,
USA: Association for Computing Machinery; pp. 86–93.
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