Browsing Computational and Communication Science Engineering by Title
Now showing items 76-95 of 602
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A data analytic module for nutrition screening of children under five years in Tanzania
(NM-AIST, 2016-04)Malnutrition is one of the major health problems in the world, and more prevalent in developing countries. The World Health Organisation (WHO) estimates that malnutrition is associated to half of all deaths of children ... -
Data Balancing Techniques for Predicting Student Dropout Using Machine Learning
(MDPI, 2023-02-27)Predicting student dropout is a challenging problem in the education sector. This is due to an imbalance in student dropout data, mainly because the number of registered students is always higher than the number of dropout ... -
Data driven approach for predicting student dropout in secondary schools
(NM-AIST, 2020-06)Student dropout is among the challenges that face most schools in developing countries particularly in Africa. In Tanzania alone, student dropout in secondary schools is pronounced to be around 36%. In addressing the ... -
Data exchange framework to support interoperability among multiple e-health records through a single mobile application: the case of Tanzania
(NM-AIST, 2019-03)Electronic Health (eHealth), particularly in the form of electronic health records (eHRs), has proved to greatly provide to the health sector, a number of benefits such as real time receipt of health-care information and ... -
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 ... -
Data visualization tool for student dropouts in Tanzania
(NM-AIST, 2020-03)Education is a crucial sector and key component of many governments’ agenda. Despite that, students dropout has been among the persisting challenges in education, being experienced from basic education levels to colleges ... -
Dataset Development for Automated Grade Labelling of Virginia Flue-Cured Tobacco Leaves in Tanzania: A Focus on Stalk Leaf Position
(Indian Journal of Science and Technology, 2025-02-26)Objectives: This study aimed at developing a dataset for automated grade labeling of Virginia flue-cured tobacco leaves based on stalk leaf position by focusing on quality, colour and anomalies. Methods: Virginia flue-cured ... -
Dataset of banana leaves and stem images for object detection, classification and segmentation: A case of Tanzania
(Elsevier, 2023-06-16)Banana is among major crops cultivated by most smallholder farmers in Tanzania and other parts of Africa. This crop is very important in the household economy as well as food security since it serves as both food and cash ... -
Dataset of Virginia Flue-cured Tobacco Leaf images based on stalk leaf position for classification tasks: A case of Tanzania
(Elsevier, 2024-10)Nicotiana tabacum is a kind of plant cultivated for its leaves used for manufacturing medicine and cigarettes. With the common name, the Tobacco plant is grown in many countries including China, Indonesia, Malawi and ... -
Deep Convolutional Neural Network for Chicken Diseases Detection
(International Journal of Advanced Computer Science and Applications, 2021)For many years in the society, farmers rely on experts to diagnose and detect chicken diseases. As a result, farmers lose many domesticated birds due to late diagnoses or lack of reliable experts. With the available ... -
A Deep Learning Model for Classifying Black Sigatoka Disease in Banana Leaves Based on Infection Stages
(IJST, 2024-10-04)Objective: This research study aims to develop an efficient deep-learning model to detect and classify stages of Black Sigatoka disease in banana plants. Methods: In this study, deep learning techniques, specifically the ... -
A deep learning model for early detection of maize diseases in Tanzania
(NM-AIST, 2024-08)Agriculture is considered the backbone of Tanzania’s economy, with more than 60% of residents depending on it for their livelihood. Maize is the main and dominating food crop in the country, accounting for 45% of all ... -
Deep learning model for predicting stock prices in Tanzania
(NM-AIST, 2023-06)e prediction models help to provide investors with tools for making better data driven decisions. Machine learning and deep learning techniques have been successively utilized in various countries to develop these models. ... -
A Deep Learning Model for Predicting Stock Prices in Tanzania
(Engineering, Technology & Applied Science Research, 2023-04-02)Stock price prediction models help traders to reduce investment risk and choose the most profitable stocks. Machine learning and deep learning techniques have been applied to develop various models. As there is a lack ... -
Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania
(International Journal of Innovative Research & Development, 2024-08-16)Agriculture is considered the backbone of Tanzania’s economy, with more than 60% of the residents depending on it for survival. Maize is the country’s dominant and primary food crop, accounting for 45% of all farmland ... -
A Deep Learning-based Mobile Application for Segmenting Tuta Absoluta’s Damage on Tomato Plants
(Engineering, Technology & Applied Science Research, 2021-10)With the advances in technology, computer vision applications using deep learning methods like Convolutional Neural Networks (CNNs) have been extensively applied in agriculture. Deploying these CNN models on mobile phones ... -
Deep learning-based mobile application for the enhancement of pneumonia medical imaging analysis: A case-study of West-Meru Hospital
(Elsevier, 2024-09)Pneumonia remains a significant global health challenge, demanding innovative solutions. This study presents a novel approach to pneumonia diagnosis and medical imaging analysis, leveraging advanced technologies. The study ... -
Deep Reinforcement Learning based Handover Management for Millimeter Wave Communication
(International Journal of Advanced Computer Science and Applications,, 2021)The Millimeter Wave (mm-wave) band has a broad-spectrum capable of transmitting multi-gigabit per-second date-rate. However, the band suffers seriously from obstruction and high path loss, resulting in line-of-sight (LOS) ... -
Deign of Low Cost Blood Pressure and Body Temperature interface
(International Journal of Emerging Science and Engineering (IJESE), 2013-08)The objective of this work is to design a non-intrusive, accurate, and low cost biomedical sensor interface for processing blood pressure and body temperature vital signs. The work purposely deals with the signal conditioning ... -
Demand-side management framework for deregulated electricity markets
(NM-AIST, 2018-07)Stability and reliability of electricity grids are at stake because of demand growth rate outstripping supply, aging of transmission and distribution infrastructure, and the energy sector globally is fast moving towards ...
