Author profile OpenAlex ID
Mustapha Amghar
- Articles in Melola
- 5
- Citations (OpenAlex)
- 17
- Journals
- International Journal of Electrical and Computer Engineering (IJECE)
- ORCID
- 0000-0001-6052-6053
- OpenAlex
- A5027144616
- Name in journal metadata
- Amghar, Mustapha
Co-authors
12 authors · 30 co-authorship links · 12 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Mohammed V University
- Mohamed I University
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Nadia Slimani | Mohammed V University | 2 |
| Nawal Sbiti | Mohammed V University | 2 |
| Ikram Abourahim | Mohammed V University | 2 |
| Mohsine Eleuldj | Mohammed V University | 2 |
| Ilham Slimani | Mohamed I University | 1 |
| Saïd Achchab | Mohammed V University | 1 |
| Mohammed Saber | Mohamed I University | 1 |
| Ilhame El Farissi | Mohamed I University | 1 |
| Siham Yousfi | Mohammed V University | 1 |
| Omaima Guennioui | Mohammed V University | 1 |
| Dalila Chiadmi | Mohammed V 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.
Where the co-authors are
- Mohammed V University
- Indonesia
- Abroad
- Bigger circle = more records · institutions in the same city share one circle
1 institution: 0% in Indonesia, 1 abroad.
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Institutions on this map
| Institution | City | Province / region | Country | Records |
|---|---|---|---|---|
| Mohamed I University | Oujda | Oriental | MA | 1 |
Locations: ROR (main site of each institution). Affiliations: OpenAlex; records without OpenAlex affiliations are not counted. Map tiles from OpenStreetMap: opening this page loads them from openstreetmap.org.
Articles
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Machine learning-driven stock price prediction for enhanced investment strategy
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Homogenous and interoperable signaling computer interlocking through IEC 61499 standard
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Towards a new intelligent traffic system based on deep learning and data integration
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Services interfaces for interoperability of signaling computer interlocking on borders
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Automated machine learning: the new data science challenge
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