School of Computing and Information Science
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Using Social Media Platforms to enhance marketing of library services by staff at Hamu Mukasa Library, Uganda Christian University, Mukono.
(Library Philosophy and Practice (e-journal), 2023-06)The study focused on use of social media platforms by library staff to market library services at Uganda Christian University, Mukono. The study objectives included; to identify the types of library services offered by ... -
Consumer segmentation and profiling using demographic data and spending habits obtained through daily mobile conversations
(American Journal of Modeling and Optimization, 2018-08)Knowledge of customer behaviour helps organizations to continuously re-evaluate their strategies with the consumers and plan to improve and expand their application of the mosteffective strategies. Using expenditure data ... -
Comparative Performance of Machine Leaning Algorithms in Prediction of Cervical Cancer
(IEEE xplore, 2021-10)Cervical cancer is among the most common types of cancer affecting women around the world despite the advances in prevention, screening, diagnosis, and treatment during the past decade. Cervical cancer can be treated if ... -
A dictionary learning approach for joint reconstruction and denoising in low field magnetic resonance imaging
(2021 IST-Africa Conference (IST-Africa), 2021-10)Currently, many children with hydrocephalus in East Africa and other resource-constrained countries do not have access to Magnetic Resonance Imaging (MRI) scanners, the preferred imaging tool during the disease administration ... -
A secure web based records management system for prisons: a case of Kisoro prison in Uganda
(International journal of computer, 2017)Most Prisons in the developing countries are still using the traditional system – pen and papers, to keep track of their records. This system takes long to finish a single transaction; this has led to loss of information ... -
Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging
(BMC Medical Imaging, 2020-06)Background Magnetic resonance imaging (MRI) is a safe non-invasive and nonionizing medical imaging modality that is used to visualize the structure of human anatomy. Conventional (high-field) MRI scanners are very expensive ... -
A survey on deep learning in medical image reconstruction
(Elsevier, 2021-03)Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction have ... -
Blockchain technology needs for sustainable mineral supply chains: A framework for responsible sourcing of Cobalt.
(Elsevier, 2022)Blockchain technology has recently become the go-to solution for companies and industries that seek to enhance value chain traceability of their products, and transparency in their supply chains. Because of these benefits, ... -
A comparative study of some pre-trained models on transfer learning approach in detection and classification of cassava leaf diseases
(SSRN, 2022)Cassava diseases affect cassava harvest posing the greatest danger to the food security and livelihoods of more than 200 million people. To identify cassava diseases, government professionals visit various sections of the ... -
Classification of cassava leaf diseases using deep Gaussian transfer learning model
(Engineering Reports, 2023-03)In Sub-Saharan Africa, experts visually examine the plants and look for disease symptoms on the leaves to diagnose cassava diseases, a subjective method. Machine learning algorithms have been employed to quickly identify ... -
An ensemble model based on learning vector quantization algorithms for early detection of cassava diseases using spectral data
(SpringerLink, 2023)In Sub-Saharan Africa, cassava is the second most significant food crop after maize. Cassava brown streak disease (CBSD) and cassava mosaic virus disease (CMD) combined account for nearly 90% of productivity losses. ... -
Detecting the risk of customer churn in telecom sector: a comparative study
(Mathematical Problems in Engineering : Hindawi, 2022-07-18)Churn rate describes the rate at which customers abandon a product or service. Identifying churn-risk customers is essential for telecom sectors to retain old customers and maintain a higher competitive advantage. The ... -
Prediction of cervical cancer basing on risk factors using ensemble learning
(IEEE, 2020-05-22)Cervical cancer is among the most common types of cancer affecting women around the world despite the advances in prevention, screening, diagnosis, and treatment during the past decade. Cervical cancer can be treated if ... -
Evaluation of requirements for the design of water resource management ICT model for integrated water resources management: the case of management of lake Victoria basin
(IEEE, 2020-05-18)The paper addresses the use of partial least square-structural equation modelling (PLS- SEM) technique to evaluate the requirements for a design of a water resource management (ICT) model for an integrated water resource ... -
Perspectives on university library automation and national development in Uganda
(IFLA Journal, 2017-06-05)Academic libraries in universities store large volumes of research that can be used for development purposes to support teaching, learning, research, innovation, community outreach and partnerships. Library automation ... -
Burden of cumulative risk factors associated with non-communicable diseases among adults in Uganda: evidence from a national baseline survey
(International Journal for Equity in Health, 2016-12-01)Modification of known risk factors has been the most tested strategy for dealing with noncommunicable diseases (NCDs). The cumulative number of NCD risk factors exhibited by an individual depicts a disease burden. However, ...
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