Browsing College of Engineering, Design, Art and Technology (CEDAT) by Subject "Machine learning"
Now showing items 1-20 of 25
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Anomaly Detection in low cost environmental sensor data using Machine learning
(Makaerere university, 2023-02-06)In 2021, a system was deployed at the makerere university weather station. This system consisted of four sensors that record temperature and humidity. These sensors are the SHT, HTC,BME and HDU. In environmental monitoring, ... -
Comparison of machine learning and rainfall-runoff models for runoff prediction in urban drainage systems
(Makerere University, 2023-07-14)This thesis presents a comprehensive investigation into the effectiveness of machine learning models in comparison to traditional rainfall-runoff models for flood prediction, utilizing the Hydrologic Engineering Center's ... -
Design and implementation of a Kiswahili mobile learning application incorporating machine learning through audio signal processing approach
(Makerere University, 2023-07-07)This project highlighted one of the most challenges underlying the low resource languages. As high resource languages have vast amounts of data for training, Low resource languages have less data for training. Quest ... -
Design and implementation of a Kiswahili mobile learning application incorporating machine learning through audio signal processing approach
(Makerere University, 2023-07-07)This project highlighted one of the most challenges underlying the low resource languages. As high resource languages have vast amounts of data for training, Low resource languages have less data for training. Quest for ... -
Design of a crop yield prediction model using machine learning and a smart irrigation system
(Makerere University, 2022-04-19)Agriculture is one of the strong pillars of Uganda’s economy. Considering that very few technologies exist to aid the farmers in selecting the right crops depending on the environmental factors. Moreover, most irrigation ... -
Detection of botnet attacks in real-time using machine learning
(Makerere University, 2023-07)Distributed Denial of Service (DDoS) attacks have become a major threat to current computer networks. DDoS attacks are still some of the most sophisticated attacks carried out with the use of Botnets which are interconnected ... -
Detection of botnet attacks in real-time using machine learning
(Makerere University, 2023)Distributed Denial of Service (DDoS) attacks have emerged as a major threat to contemporary computer networks. These attacks utilize sophisticated Botnets, which comprise interconnected computers under the control of a ... -
Development of a deep learning model for the classification and detection of maize leaf diseases.
(Makerere University, 2023-07-07)Maize leaf blight and maize streak virus are global diseases that severely impact maize crops, resulting in significant yield losses. Early detection of these diseases is crucial for preventing their spread and minimizing ... -
Development of a machine learning aided system for evaluation of Handwritten Mathematical problems.
(2020-12-15)Assessment/evaluation is an integral part of instruction, as it determines whether or not the goals of education are being met. There is an urgent need to assess student solutions and provision of remarks/results in real ... -
Development of a machine learning based predictive maintenance algorithm for transformers in distribution substations
(2022-02-10)Maintenance management is an important component of a well-functioning plant and it ensures that all equipment required for production is operating at 100 percent efficiency at all times. Maintenance of substation equipment ... -
Development of a machine learning based predictive maintenance algorithm for transformers in distribution substations.
(2022-02-10)With inadequate maintenance being the third most cause of transformer failures in substations, adoption of suitable maintenance strategies for plant equipment has become an essential decision. The existing maintenance ... -
Development of machine learning and tailored image compression algorithms in beehive monitoring system
(Makerere University, 2023-07-23)Beekeeping is a vital component of agriculture, providing numerous benefits such as pollination, honey production, and other bee-related products. However, monitoring the health and performance of bee colonies can be ... -
Development of machine learning and tailored image compression algorithms in beehive monitoring system
(Makerere University, 2023-07-23)Stroke is a significant global health concern with devastating consequences for individuals and their families. Early detection plays a crucial role in preventing or minimizing the impact of strokes. This research presents ... -
Development of machine learning and tailored image compression algorithms in beehive monitoring system
(Makerere University, 2023-08-16)Namanve Thermal Power Plant is a 50 MW generation plant currently being run and maintained by Uganda Electricity Generation Company limited. The generation plant is used as an emergency backup power source for situations when ... -
An embedded, machine learning-enabled platform for in-field screening of plant disease and pest damage.
(Makerere University, 2023-01-25)The fall armyworm pest caught farmers and agricultural organizations by surprise when it hit most major maize farming regions in Uganda. Currently, both large-scale and small-scale farmers rely on manual observation of the ... -
Implementation of a voice control and command system using a Luganda keyword spotting system.
(2020-12)This project aims at addressing the issues indicated majorly considering this in the Luganda language. Luganda is the second most widely spoken language in Uganda. With vocal communication being the most preferred way ... -
Machine learning aided screening of lung diseases in CT images.
(Makerere University, 2023)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, ... -
A machine learning approach to IEEE 802.11 network intrusion detection
(Makerere University, 2022-09-30)Intrusions Detection Systems have been developed to protect wireless local area networks against intrusions; there are two types namely Anomaly-based Intrusions Detection Systems and Signature-based Intrusions Detection ... -
A machine learning approach to preventive maintenance in industrial machines.
(2021-01-21)A study of how machine learning can be used to study patterns of machine failure and predict future possible failures. The project focuses on temperature and vibrations as the key factors of machine failure. A study by US ... -
A Machine Learning Approach to Sleep Mode in Dense Cellular Networks
(2020)Current cellular networks are designed to handle peak traffic so as to offer the best qual ity of service at all times and yet network subscribers are not uniformly distributed making traffic within the network vary ...