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Now showing items 1-10 of 24
A Machine Learning Approach to Improve Spectrum Utilization in Cognitive Radio Networks.
(2021-02-19)
In regards to wireless communications, due to the explosion in demand for higher capacity
networks, availability of free spectrum resources have become increasingly scarce. The UHF
spectrum band in particular, due to its ...
Design of a Deep Learning Based Pothole Detection System.
(2020-12-02)
With an increasing number of potholes on the roads that take a while before they are repaired, their adverse effects like accidents, traffic jam, flooding during the rainy season and damage to motor vehicles keep affecting ...
Design of a Machine Learning Based Traffic Control System
(2021-03-15)
This report investigates the problem of traffic jam at one of the junctions in Kampala Uganda which is Wandegeya junction. At Wandegeya junction, existing traffic light control causes long delays, air pollution, energy ...
A Machine Learning Based Forward Collision Avoidance System of the Kayoola EVS
(2020)
Autonomous vehicle control presents a signi cant challenge for arti cial intelligence and
control theory. The act of driving is best modeled as a series of sequential decisions made
with occasional feedback from the ...
Development of Machine Learning Model for in-field Detection and Counting of Whiteflies.
(2022-02-10)
Whiteflies are a major pest and vector that has greatly affected the yields of cassava
production. Whiteflies are sucking insects that feed on the plant sap and in the
process transmit or pick up disease causing organisms. ...
Artificial neural network design for stability control of an unmanned Aerial Vehicle (UAV).
(2022-02-23)
The project is about modelling an intelligent flight control system based on artificial neural network which caters for unexpected flight dynamics during UAV operations. This is to ensure UAV balanced during the flight ...
A machine learning based approach for multi-domain service deployment in future networks
(Makerere University, 2020)
The exponential increase of data traffic from new and improved services in healthcare, enhanced mobile broadband communication, transportation, augumented reality has led to cloudifing these services into an ordered set ...
Development of a machine learning model for the assessment of PV panel efficiency.
(Makerere University, 2021)
The purpose of this study was to assess the efficiencies of solar PV panels. We were able to
undertake this by training a machine learning model using solar irradiance, windspeed, ambient
temperature and panel manufacturer ...
Deep Learning for Cervical Cancer Screening.
(Makerere University, 2022-03-03)
Traditional screening of cervical cancer type classification majorly depends on the pathologist’s
experience, which also has less accuracy. Colposcopy is a critical component of cervical cancer
prevention. In conjunction ...
Machine Learning-aided Screening of Lung DIseases in CT images.
(Makerere University, 2022-10-11)
Chest computed tomography (CT) scan image screening for lung diseases is a laborious and time-consuming technique that can only be handled by qualified radiologists. Due to a shortage of experienced radiologists in Uganda, ...