Faculty of Computing and Informatics: Recent submissions
Now showing items 1-20 of 125
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Diagnosis and Classification of Tuberculosis Chest X-ray Images of Children Less Than 15 years at Mbarara Regional Referral Hospital Using Deep Learning
(Journal of AI and Data Mining, 2024)Tuberculosis (TB) is an underestimated cause of death in children, with only 45% of cases correctly diagnosed and reported. It is estimated that 1.12 million TB cases occurred among newborns, children, and adolescents aged ... -
Can We Find Stable Alternatives For Unstable Eclipse Interfaces?
(In 2016 IEEE 24th international conference on program comprehension (ICPC), 2016)The Eclipse framework is a popular and widely adopted framework that has been evolving for over a decade. Like many other evolving software systems, the Eclipse framework provides both stable and supported interfaces (APIs) ... -
Digital Anti-Corruption Typology for Public Service Delivery
(International Journal of Computer Applications, 2021)Digital anti-corruption refers to a family of digital technology tools that are used to fight corruption. Many such tools have not performed well in practice due to their non-alignment with forms of corruption they are ... -
Decision Enhancement Services for Small and Medium Enterprise Start-ups in Uganda
(45th Hawaii International Conference on System Sciences, 2012)While start-up firms create a substantial economic impact on most economies, the failure rate of start-up firms seems to remain high due to inadequate agile decision services. Deciding to start-up mining Small and Medium ... -
Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease
(In Artificial Intelligence and Applications, 2023)Recently, transfer learning technique has proved to be powerful in enhancing development of deep learning methods for sickle cell disease (SCD) detection as a complement to the clinical method where a hemoglobin electrophoresis ... -
A Review on Automated Detection and Assessment of Fruit Damage Using Machine Learning
(IEEE Access, 2024)Automation improves the quality of fruits through quick and accurate detection of pest and disease infections thus contributing to the country’s economic growth and productivity. Although humans can identify the fruit ... -
A Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots and Green Pepper Vegetables
(In Artificial Intelligence and Applications, 2022)With increased resistant pests and low crop yields, farmers especially in sub-saharan Africa have greatly embraced usage of chemicals. These chemicals include pesticides used in gardens for better yields and also in the ... -
An introduction to digital determinants of health
(PLOS Digital Health, 2024)In recent years, technology has been increasingly incorporated within healthcare for the provision of safe and efficient delivery of services. Although this can be attributed to the benefits that can be harnessed, digital ... -
Peer review of GPT-4 technical report and systems card
(PLOS Digital Health, 2024)The study provides a comprehensive review of OpenAI’s Generative Pre-Trained Transformer 4 (GPT-4) technical report, with an emphasis on applications in high-risk settings like healthcare. A diverse team, including experts ... -
Analyzing Energy Consumption Patterns at Mbarara University of Science and Technology: A Case Study of the Academic Calendar Influence
(International Journal of Innovative Research in Engineering and Management (IJIREM), 2023)This research paper presents a concise and factual analysis of energy consumption patterns at Mbarara University of Science and Technology (MUST) based on historical data from the calendar year 2019. The study focused on ... -
Self-assessment of Internal Quality Assurance Mechanisms: An Empirical Investigation
(The Arab Journal For Quality Assurance in Higher Education, 2023)This study examines the internal quality assurance mechanisms (IQAMs) at Mbarara University of Science and Technology (MUST) in Uganda through a self-assessment. A descriptive design and quantitative method are employed ... -
Digital Determinants of Health: Health data poverty amplifies existing health disparities— A scoping review
(PLOS Digital Health, 2023)Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform healthcare as already demonstrated in various medical specialties. This scoping review focuses on the factors that influence ... -
The feasibility, acceptability, and preliminary impact of real-time monitors and SMS on tuberculosis medication adherence in southwestern Uganda: Findings from a mixed methods pilot randomized controlled trial
(PLOS Global Public Health, 2023)We conducted a pilot randomized controlled trial among patients initiating treatment for drug-sensitive tuberculosis (TB). Participants received real-time electronic adherence monitors and were randomized (1:1:1) to: (i) ... -
Contextual Factors Influencing the Performance of Mobile Services in Monitoring the Delivery of Public Health Services
(Regional Journal of Information and Knowledge Management, 2023)Rationale of Study: This paper established contextual factors affecting the performance of mobile services for monitoring the delivery of public health services in Uganda. Methodology: The study adopted a survey type of ... -
Reducing Misuse of Data in Motion through Surveillance of Logs.
(nternational Journal of Technology and Management, 2023)This paper explores the reducing misuse of data in motion through surveillance of logs in Uganda. Using a descriptive cross-sectional research design, this study sampled 184 participants comprised of car trackers experts ... -
Digital Anti-Corruption Typology for Public Sector
(East African Journal of Information Technology, 2023)Many digital anti-corruption tools have not performed well in practice due to their non-alignment with forms of corruption they are supposed to fight against, the persistence of corruption-enabling conditions, activities, ... -
Digital Determinants of Health: Health data poverty amplifies existing health disparities— A scoping review
(PLOS Digital Health, 2023)Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform healthcare as already demonstrated in various medical specialties. This scoping review focuses on the factors that influence ... -
Ethical Climate: Analyzing the Moderation Effect on Cardinal Virtues and Employees’ Cyber Security Ethical Behavior Intention in Ugandan Commercial Banks.
(European Journal of Technology, 2022)Purpose: Ethics is the last issue that organizations ponder about when planning cyber security strategies. Yet Ethical behaviors have a big impact on the interactions with software and technology. The lack of employees’ ... -
A Web Based Employees’ Cyber Security Ethical Behavior Assessment (ECEBA) Model for Ugandan Commercial Banks
(American Journal of Computing and Engineering, 2023)Purpose: Despite the existence of Cyber Security technical controls, checklists, and formal procedures in the banks; there exists no employees’ assessment tool for Cyber Security ethical behavior. This research presents ... -
Implementation of electronic medical records requires more than new software:Lessons on integrating and managing health technologies from Mbarara,Uganda
(In Healthcare, 2015)Implementation lessons: • Technology alone does not necessarily lead to improvement in health service delivery, in contrast to the common assumption that advanced technology goes hand in hand with progress. • Implementation ...