Browsing by Title
Now showing items 460-479 of 2483
-
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 from the batch adsorption of ciprofloxacin and lamivudine from synthetic solution using jamun seed (Syzygium cumini) biochar: Response surface methodology (RSM) optimization
(Elsevier, 2023-02)This dataset expresses the experimental data on the batch adsorption of ciprofloxacin and lamivudine from synthetic solution using jamun seed (JS) (Syzygium cumini) biochar. Independent variables including concentration ... -
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 ... -
Database Privacy: Design of User Privacy Preserving Central Bank Digital Currency: A Case of Tanzania
(Indian Society for Education and Environment (iSee), 2024-03-04)Objectives: This work aims to contribute towards Tanzanian Central Bank Digital Currency (CBDC) users’ privacy preservation. It proposes the design of a privacy preserving CBDC which might be issued by Tanzania’s Central ... -
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 ... -
Decentralized Environmental Governance: A reflection on its role in shaping Wildlife Management Areas in Tanzania
(Tropical Conservation Science, 2015-12-01)Decentralised environmental governance has become a catchy solution to environmental problems caused by the failure of traditional centralised environmental governance. It promises to transfer power and authority, improve ... -
Decline in maize and beans production in the face of climate change at Hai District in Kilimanjaro Region, Tanzania
(Emerald Group Publishing Limited, 2015)Purpose – The purpose of this paper is to show how climatic change in Africa is expected to lead to a higher occurrence of severe droughts in semiarid and arid ecosystems. Understanding how crop productions react to such ... -
The decline in phytoplankton biomass and prawn catches in the Rufiji-Mafia Channel, Tanzania
(African Journals Online, 2016-11-27)The world’s oceans have seen significant declines in phytoplankton-the primary food source in the marine environment. This decline in primary producers is likely to impact the food chain and functions of most coastal and ... -
A deconvolutional Bayesian mixing model approach for river basin sediment source apportionment
(Scientific Reports, 2018-08-30)Increasing complexity in human-environment interactions at multiple watershed scales presents major challenges to sediment source apportionment data acquisition and analysis. Herein, we present a step-change in the ... -
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 ... -
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 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. ...
