Browsing College of Engineering, Design, Art and Technology (CEDAT) by Subject "Machine Learning"
Now showing items 1-20 of 21
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Anomaly Detection in Low-Cost Environmental Monitoring Sensor Data Using Machine Learning
(Makaerere university, 2022-09-16)A system was installed at Makerere University's weather station in December 2021 to test inexpensive sensors used for environmental monitoring. This research was done in particular to identify the most reliable sensor ... -
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 ... -
Assessing the Capability of a Spectral-Based Model in Detection of Northern Leaf Blight in Maize; A Case Study of Asili Maize Farm in Kiryandongo
(Makerere University, 2023-07-04)Maize (Zea mays L.) is the world’s most productive crop, with 1.12 billion metric tons harvested in 2018/19. Northern Leaf Blight is a devastating fungal disease caused by the pathogen Exserohilum turcicum that affects ... -
Crop Yield Prediction For Maize Using Machine Learning Case Study Asili Farms Kiryandongo District
(Makerere University, 2023-06-19)Agricultural production is an outstanding source of income for Ugandans, especially small-scale farmers, and has contributed to their daily living. However, due to certain seasonal changes attributed to climatic conditions, ... -
Data compression for an edge-based machine learning model in IOT devices.
(Makerere University, 2022-09-21)In this project, an IoT device, comprising an AD8232 ECG sensor kit and ESP32 microcontroller, was designed and developed to collect ECG data. Compression using the wavelet transform was then applied on the collected data ... -
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 ... -
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 ... -
Detecting distributed denial of service attacks using Machine Learning
(Makerere University, 2023-01-13)Software-defined network (SDN) has become a revolutionary aspect in networks because it provides more control and network operation over a network infrastructure. The SDN controller is considered as the operating system ... -
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 ... -
Development of a smart portable ultrasound system for real-time guidance of minimally invasive procedures
(Makerere University, 2022-10-19)Needle visibility is crucial in the diagnosis and treatment of non-communicable diseases. This work focuses on developing a smart portable ultrasound system that uses machine learning techniques to aid needle visibility ... -
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. ... -
Load forecasting using machine learning.
(Makerere University, 2022-10-03)Short term load forecasting is essential within low income developing countries for power system planning, operation and control. In this project, load forecasting is done using a non linear Regression Analysis through ... -
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 ... -
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 ... -
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 ... -
A Machine Learning Strategy for Automatic Detection of High Risk Pregnancies in Uganda
(Makerere University, 2022-09-09)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 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, ... -
Machine Learning-Based Mapping of Slums and Analysis Of Slums Patterns: A Case Study Of Kampala District, Uganda. (Unpublished undergraduate dissertation) Makerere University; Kampala, Uganda.
(Makerere University, 2023-12-21)Urban planning and policy-making face considerable challenges as a result of the increasing urbanization and rise of informal settlements in many emerging nations. Effective urban management requires accurate and current ... -
Short Term Load Forecasting Using Machine Learning
(Makerere University, 2022-10-10)Short term load forecasting is required for power system planning, operation and control. It is utilized by utilities, system operators, power marketers, generators etc. In this project, load forecasting has been done with ...