Emmanuel Masabo
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Rwandaas 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
- 0000-0002-0894-4909
- OpenAlex ID
- A5031841316as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
An Intelligent System-Based Coffee Plant Leaf Disease Recognition Using Deep Learning Techniques on Rwandan Arabica Dataset,
Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques,
Fuzzy Based Prediction Model for Air Quality Monitoring for Kampala City in East Africa,
Leveraging MobileNetV3 for In-Field Tomato Disease Detection in Malawi via CNN,
Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques,
Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning,
Tackling pandemics in smart cities using machine learning architecture,
Using wavelet transform and hybrid CNN – LSTM models on VOC & ultrasound IoT sensor data for non-visual maize disease detection
← Authored by 8
An Intelligent System-Based Coffee Plant Leaf Disease Recognition Using Deep Learning Techniques on Rwandan Arabica Dataset,
Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques,
Fuzzy Based Prediction Model for Air Quality Monitoring for Kampala City in East Africa,
Leveraging MobileNetV3 for In-Field Tomato Disease Detection in Malawi via CNN,
Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques,
Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning,
Tackling pandemics in smart cities using machine learning architecture,
Using wavelet transform and hybrid CNN – LSTM models on VOC & ultrasound IoT sensor data for non-visual maize disease detection
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Summary
Emmanuel Masabo is a human[1].