Research Articles [CoCSE]
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Two stream GRU model with ELU activation function for sign language recognition
(Elsevier, 2025-04-05)Pose Estimation features have been successfully used in human activity recognition including sign language recognition. One of the key challenges in sign language recognition is handling signer-independent modes and hand ... -
Sensitivity analysis and parameter estimation for evaluating the impact of water pollution on aquatic species
(Computational Ecology and Software, 2025-05-21)Aquatic ecosystems are highly sensitive to changes in environmental conditions, making it essential to identify the key factors that influence the dynamics of species populations. This study introduced a nonlinear mathematical ... -
Irish Potato Imagery Dataset for Detection of Early and Late Blight Diseases
(Elsevier, 2025-04-03)This dataset comprises of 58,709 annotated images of irish potato leaves, categorized into three classes (healthy, early blight and late blight). The data was collected over six months from smallholder farms in ... -
Modeling salmonellosis transmission dynamics in humans and dairy cattle with optimal controls
(Elsevier, 2025-02)In this paper, we develop a mathematical model to examine the transmission dynamics and control analysis of salmonellosis in humans and dairy cattle. The model considers three time-dependent controls (improving hygiene, ... -
Modeling the influence of fear and patients’ attitudes on the transmission dynamics of tuberculosis
(Springer Nature, 2025-01-08)In this study we discussed the ongoing global health challenge of tuberculosis (TB), which is caused by the Mycobacterium tuberculosis bacteria. While in several studies, the transmission dynamics of TB were examined, it ... -
Dynamical modeling of Salmonellosis in humans and dairy cattle with temperature and pH effects
(Elsevier Ltd., 2025-03)Approximately 20 million cases and 0.15 million human fatalities worldwide each year are caused by Salmonellosis. A mechanistic compartmental model based on ordinary differential equations is proposed to evaluate the effects ... -
Sensitivity analysis and uncertainty quantification of climate change effects on Tanzanian banana crop yield
(Elsevier B. V., 205-01-09)Concerns about the impact of climate change on agricultural systems have heightened, par ticularly in regions where crop cultivation is essential for economic stability and sustenance. This research addresses a critical ... -
Bayesian prediction of under-five mortality rates for Tanzania
(Elsevier Inc., 2025-01-26)Under-five mortality is a burden on health and economic systems in developing countries. This study used under-five mortality rate (U5MR) data for Tanzania from 1960 to 2020 to predict trends of under-five mortality ... -
Banana Leaves Imagery Dataset
(Springer Nature, 2025-03-21)In this work, we present a dataset of banana leaf imagery, both with and without diseases. The dataset consists of 11,767 images, categorized as follows: 3,339 healthy images, 3,496 images of leaves affected by Black ... -
Modelling and analysis of hydraulic transients in water pipelines using physics-informed neural network
(Elsevier B. V., 2025-02-18)Hydraulic transients remain a challenge in fluid flow systems, spanning basic pipelines to complex networks. While advances in transient analysis methods have been made, most approaches require full boundary condition ... -
A Comprehensive Blockchain-Based System for Educational Qualifications Management and Verification to Counter Forgery
(IEEE Access, 2025-02-17)The prevalence of fake educational credentials poses a threat to the meritocratic nature of the education system and job markets. Verification of certificates to combat forgery has been a challenging endeavor due to the ... -
Towards Efficient Video Codec for 360-degree Video Streaming over Broadband Network
(Indian Journal of Science and Technology, 2025-02-17)Objectives: This study presents the compression efficiency analysis of AV1, H.265/HEVC, and VVenc based on the Peak Signal-to-Noise Ratio (PSNR) and Video Multimethod Assessment Fusion (VMAF) objective quality metrics. ... -
Optimizing dataset diversity for a robust deep-learning model in rice blast disease identification to enhance crop health assessment across diverse conditions
(Elsevier, 2025-03)Magnaporthe oryzae, the pathogen that causes rice blast disease, poses a significant global threat to rice pro duction. This disease may lead to yield losses exceeding 30 % in susceptible rice varieties. There is an urgent ... -
Design of the data-driven software application for identification, population monitoring, and risk assessment for lions in Serengeti Tanzania
(International Academy of Ecology and Environmental Sciences, 2024-09)This study presents a design of a Data-Driven software application for identification, population monitoring, and risk assessment for lions in Serengeti Tanzania. Lions’ populations have been declining due to poaching, ... -
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 ... -
Optimization of RF-EMF exposure to public in Tanzania using Artificial Neural Network and multi linear regression models
(Elsevier, 2025-04)Technology development has triggered the demand for the use of radio frequency electromagnetic fields (RF-EMF). The growing demand for mobile communication, digital industrial evolutions and social services have forced ... -
A Review on NLP Techniques and Associated Challenges in Extracting Features from Education Data
(International Journal of Computing and Digital Systems, 2024-08)There has been a significant increase in academic processes to ensure the quality of educational resources such as curricula, examinations, and educational content. This has drawn attention to studies exploring the use ... -
Characterizing Water Users through Frequent Patterns and Association Rules by Using Apriori Algorithm: A Case of Pangani Basin Tanzania
(IJST, 2024-12-07)Objectives: To identify the hidden patterns in the K-means clustered dataset for the Pangani Basin using the Apriori algorithm through frequent patterns and association rules to enrich cluster characteristics. Methods: ... -
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 ... -
Uncovering service gaps and patterns in smallholder dairy production systems: A data mining approach
(Science Direct, 2024-09-17)Traditional clustering algorithms have often been used to categorize farmers but tend to overlook the underlying reasons for these groupings. Typically, clusters are formed based on common metrics such as dispersal and ...
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