A. G. Usman
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Prince Mohammad bin Fahd Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-5660-4581
- OpenAlex ID
- A5037540489, A5120934772, A5125466596, A5136058338as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 32
Advanced chromatographic technique for performance simulation of anti-Alzheimer agent: an ensemble machine learning approach,
A Novel Multi-model Data-Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development,
Application of data-intelligence algorithms for modeling the compaction performance of new pharmaceutical excipients,
Artificial intelligence-based approaches for modeling the effects of spirulina growth mediums on total phenolic compounds,
Artificial-Intelligence-Based Models Coupled with Correspondence Analysis Visualization on ART—Cases from Gombe State, Nigeria: A Comparative Study,
Artificial intelligence–based models for the qualitative and quantitative prediction of a phytochemical compound using HPLC method,
Chemometrics‐based models hyphenated with ensemble machine learning for retention time simulation of isoquercitrin in <i>Coriander sativum</i> L. using high‐performance liquid chromatography,
Clinical Modelling of RVHF Using Pre-Operative Variables: A Direct and Inverse Feature Extraction Technique
+24 more
← Authored by 32
Advanced chromatographic technique for performance simulation of anti-Alzheimer agent: an ensemble machine learning approach,
A Novel Multi-model Data-Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development,
Application of data-intelligence algorithms for modeling the compaction performance of new pharmaceutical excipients,
Artificial intelligence-based approaches for modeling the effects of spirulina growth mediums on total phenolic compounds,
Artificial-Intelligence-Based Models Coupled with Correspondence Analysis Visualization on ART—Cases from Gombe State, Nigeria: A Comparative Study,
Artificial intelligence–based models for the qualitative and quantitative prediction of a phytochemical compound using HPLC method,
Chemometrics‐based models hyphenated with ensemble machine learning for retention time simulation of isoquercitrin in <i>Coriander sativum</i> L. using high‐performance liquid chromatography,
Clinical Modelling of RVHF Using Pre-Operative Variables: A Direct and Inverse Feature Extraction Technique
+24 more
Affiliated with 2
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Summary
A. G. Usman is a human[1].