Author profile OpenAlex ID
Poh Ping Em
- Articles in Melola
- 5
- Citations (OpenAlex)
- 64
- Journals
- International Journal of Electrical and Computer Engineering (IJECE)
- ORCID
- 0000-0002-2535-0045
- OpenAlex
- A5052011190
- Name in journal metadata
- Em, P. P.; Em, Poh Ping
Co-authors
12 authors · 36 co-authorship links · 29 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Pabna University of Science and Technology
- Multimedia University
- Wayne State University
- University of Alabama
- University of Colorado Denver
- Feni University
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Abdullah Al Mamun | Multimedia University | 5 |
| Md. Jakir Hossen | Multimedia University | 3 |
| Anik Tahabilder | Wayne State University | 2 |
| Tonmoy Ghosh | University of Alabama | 1 |
| Md. Motaher Hossain | Pabna University of Science and Technology | 1 |
| Md. Galib Hasan | Pabna University of Science and Technology | 1 |
| Md. Golam Sadeque | Pabna University of Science and Technology | 1 |
| Md. Sohag Hossain | Pabna University of Science and Technology | 1 |
| R. Sultana | University of Colorado Denver | 1 |
| M. A. Islam | Pabna University of Science and Technology | 1 |
| Busrat Jahan | Feni University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.
Articles
-
Efficient lane marking detection using deep learning technique with differential and cross-entropy loss
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An efficient encode-decode deep learning network for lane markings instant segmentation
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Lane marking detection using simple encode decode deep learning technique: SegNet
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Small intestine bleeding detection using color threshold and morphological operation in WCE images
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Bleeding recognition technique in wireless capsule endoscopy images using fuzzy logic and principal component analysis
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