Browsing College of Engineering, Design, Art and Technology (CEDAT) by Subject "Machine learning"
Now showing items 21-25 of 25
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A machine learning strategy for automatic detection of high risk pregnancies in Uganda
(Makerere University, 2022-09-21)High risk pregnancies have a significant contribution to the increasing maternal and infant mortality rates in Uganda. One of the major parameters for assessing pregnancy risk is the fetal skull circumference of unborn ... -
Machine learning-aided classification of Covid-19 in lung Ultrasound Images.
(2022-03)With the rapid development of COVID-19 into a global pandemic, Uganda is in dire need of screening tools to aid risk strati cation for con rmatory testing, quarantining as well as facilitate appropriate allocation of the ... -
Machine learning-aided screening of COVID-19 in Lung Ultrasound images.
(Makerere University, 2022-01-22)In this project, the transfer learning technique was exploited on several deep learning algorithms to classify COVID-19 in Lung Ultrasound images. Training and preliminary testing of the algorithms was performed with the ... -
Prototype and machine learning integration for varroa mite detection in bees.
(Makerere University, 2023-09-25)This report presents the development and implementation of a prototype system for Varroa mite detec- tion in bees, leveraging the integration of machine learning techniques and dual-camera setup. Varroa mites (Varroa ... -
Using machine learning in bee acoustic analysis to detect presence or absence of a queen bee in a Ugandan bee hive
(Makerere University, 2023-08-09)Bees inside a beehive produce different sounds in form of vibration and acoustic signals when responding to specific stimuli inside the hive. These vibroacoustic signals can vary with different states of the beehive ...