Browsing Journal Articles by Issue Date
Now showing items 1-10 of 10
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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, ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
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. ... -
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 ...
