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Mobile-Based convolutional neural network model for the early identification of banana diseases
(Elsevier, 2024-02-29)
This study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium
Wilt and Black Sigatoka in bananas. In this paper, a Convolutional Neural Network (CNN) model for the ...
An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses
(IEEE, 2023-11-16)
Deep learning-based driver assistance systems (ADAS) have attracted interest from researchers due to their impact on improving vehicle safety and reducing road traffic accidents. In Uganda, road accidents have continued ...
A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language
(Engineering, Technology & Applied Science Research, 2023-06-02)
The recorded cases of corona virus (COVID-19) pandemic disease are millions and its mortality rate was maximized during the period from April 2020 to January 2022. Misinformation arose regarding this threat, which spread ...
Machine learning model for predicting Peste des Petits Ruminants
(IEEE, 2023-11-16)
Peste des petits ruminants (PPR) is a viral disease that affects small ruminants and is prevalent in many developing countries, particularly in Africa and Asia. It can spread through direct contact, air, and contaminated ...
Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN Model
(Pre prints,org, 2023-05-11)
Data scarcity is a significant challenge in the field of Machine Learning (ML), as data
collection can be expensive, time‐consuming, and difficult, particularly in developing countries.
This challenge is exaggerated on ...