Godfrey Mugyenyi Rwambuka
ID: UNCST-2023-R008285
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Application of artificial intelligence using ultrasonographic images to aid clinical care of pregnant women with pregnancy and fetal complications in Uganda: A pilot study
REFNo: HS3890ES
3. To develop and pilot test a machine learning model using annotated ultrasonographic images to aid the diagnosis of obstetric and fetal complications among pregnant women in Mbarara City, Uganda. ,2. To annotate ultrasonographic images for detection of obstetric and fetal complications among pregnant women in Mbarara City, Uganda,1. To create a database of ultrasonographic images of pregnancy and fetal complications among pregnant women in Mbarara City, Uganda,To develop and pilot test artificial intelligence model using ultrasonographic images to aid clinical care of women with pregnancy and fetal complications among pregnant women in Mbarara City,
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Uganda |
2024-03-14 18:45:42 |
2027-03-14 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Wilson Namuwoza
ID:
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Adoption framework for Digital Utilization in Banking in Resource Constrained Environments
REFNo: SS2411ES
The general Objective is to develop an adoption framework for digital utilization in banking in resource constrained environments.
While the Specific Objectives are;
1. To examine the digital products and technologies currently being used by commercial banks.
2. To assess the barriers and facilitators for the current use of commercial bank digital products and technologies.
3. To design a framework that can support digital utilisation in banking in resource constrained environments.
4. To test and validate the designed framework that can support digital utilization in banking in resource constrained environments.
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Uganda |
2024-03-14 18:44:34 |
2027-03-14 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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Jan-Niklas Kniewel
ID:
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NGOs and the Negotiation of the Conservation Frontier in Africa, c. 1960-2003
REFNo: SS2392ES
This research project aims to systematically examine the interactions between conservation NGOs, governments, national park administrators, and rural communities in postcolonial East and Central Africa. In doing so, it contributes to a growing field of studies that critically evaluate the role of NGOs in shaping contemporary Africa. The guiding research questions are as follows: How have NGO funds impacted East and Central African countries, and how was the reorganization of rural spaces and livelihoods negotiated in the name of conservation and/or tourism? How did international conservationists engage with the states and people on whose territory the nature they sought to protect was located? Furthermore, how did the resistance that emerged from such reorganizations influence global conservation paradigms?
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Germany |
2024-03-14 18:43:35 |
2027-03-14 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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Joseph Mukasa
ID: UNCST-2024-R005161
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Plunder or Development: Divergencies and Convergencies in Colonial and Contemporary ‘Land Grabbing’ and the Subaltern Reactions in Buganda
REFNo: SS2365ES
General Objectives:
To investigate the subaltern reactions to colonial and contemporary land grabbing in Buganda.
Specific Objectives
To analyse the nature and politics of land grabbing in Buganda since the introduction of Mailo tenure in 1900.
To examine the influence of land grabbing on subaltern’s socio-cultural and economic conditions in colonial and contemporary Buganda.
To examine the reaction strategies adopted to counter land grabbing and the politics around their choices.
To examine the role of women in responding to colonial and contemporary land grabbing cases in Buganda.
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Uganda |
2024-03-14 18:42:47 |
2027-03-14 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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Lillian Tamale
ID: UNCST-2023-R007217
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Machine Learning Technology and Post-Harvest Management of Aflatoxins in Groundnuts. Case Study: Small Scale Farmers in 3 Selected Districts in Teso Region, Uganda.RefNo: CLARKE-2023-733
REFNo: SIR290ES
i. To determine the factors that lead to aflatoxin contamination in groundnuts.
ii. To assess the mediating effect of aflatoxin contamination on factors that contribute to its rise in groundnuts, and utilize machine learning technology for improved prediction and mitigation at the post-harvest stage.
iii. To develop an ensemble learning model for the prediction of aflatoxins in groundnuts at the post-harvest stage.
iv. To evaluate the effectiveness of the designed ensemble learning prediction model.
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Uganda |
2024-03-14 18:39:51 |
2027-03-14 |
Engineering and Technology |
Non-Clinical Trial |
Degree Award |
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