Mohamed Larbi Zeghlache

Orcid: 0009-0003-2468-0987

According to our database1, Mohamed Larbi Zeghlache authored at least 3 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2025
Flow regime identification from acoustic sensors in pipe flow using deep neural networks.
Eng. Appl. Artif. Intell., 2025

2024
An Innovative Pipe Inspection Tool Utilizing Electromagnetic Resonance Coupling and Machine Learning.
IEEE Trans. Ind. Electron., May, 2024

A Novel PCA-Based Slug Flow Characterization Using Acoustic Sensing.
IEEE Access, 2024


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