A deep learning framework for the defection of source code plagiarism using Siamese network and embedding models /
Source code plagiarism represents an ongoing problem that threatens academic integrity and intellectual rights. Various research works on detection approaches have been proposed to overcome prolonged manual inspection as it requires laborious efforts and consumes time. These detection approaches can...
Saved in:
Main Author: | Manahi, Mohammed S.M (Author) |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Kuala Lumpur :
Kulliyyah of Information and Communication Technology,International Islamic University Malaysia,
2021
|
Subjects: | |
Online Access: | http://studentrepo.iium.edu.my/handle/123456789/10996 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image and video based emotion recognition using deep learning /
by: Arselan Ashraf
Published: (2021) -
Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
by: Mohamed Anuar, Mohamed Marzhar
Published: (2022) -
A study and enhancements of reinforcement learning methods /
by: Lee, Chin Yew
Published: (1998) -
Microcalcification detection in mammography for early breast cancer diagnosis using deep learning technique /
by: Leong, Yew Sum
Published: (2022) -
Deep learning-based breast cancer detection and classification using histopathology images /
by: Murtaza, Ghulam
Published: (2021)