Browsing Research Articles [CoCSE] by Title
Now showing items 41-60 of 344
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Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach
(IEEE Access, 2022-08-11)Due to the massive adoption of mobile money in Sub-Saharan countries, the global transaction value of mobile money exceeded $2 billion in 2021. Projections show transaction values will exceed $3 billion by the end of ... -
Classroom ICT integration in Tanzania: Opportunities and challenges from the perspectives of TPACK and SAMR models
(International Journal of Education and Development using Information and Communication Technology (IJEDICT), 2016)With the education systems demand of contemporary technologies, teacher trainees should be imparted with competencies and skills to integrate information and communication technology (ICT) into their future teaching and ... -
Climatology-aware health management information system to enhance cholera epidemic analysis and prediction in Tanzania
(International Journal of Advanced Technology and Engineering Exploration (IJATEE), 2019)The cholera epidemic remains a public health threat in many developing countries including Tanzania. It affects vulnerable populations living with an unreliable water supply and sub-standard sanitary conditions. Various ... -
Cluster based wireless sensor network for forests environmental monitoring
(International Journal of Advanced Technology and Engineering Exploration, 2020-02)Monitoring the forest’s weather has been essential to living things over the years. Currently, there is a shortage of information on real-time temporal and spatial environmental conditions of the forest that drive forest ... -
Combining Clinical Symptoms and Patient Features for Malaria Diagnosis: Machine Learning Approach
(Taylor & Francis online, 2022-01-30)Presumptive treatment and self-medication for malaria have been used in limited-resource countries. However, these approaches have been considered unreliable due to the unnecessary use of malaria medication. This study ... -
A Comparative Study of Assistive Technologies for Physically challenged peoples for usability of Powered Wheelchair Mobility Aid
(International Journal of Advances in Scientific Research and Engineering (ijasre), 2022-01)Physical disabilities have always been a big issue in our communities. Ageing, sickness, and other variables have all had a role in the creation of these issues. That is why Powered wheelchairs were designed to aid people ... -
Comparison of Empirical Propagation Path Loss Models for Mobile Communication
(Computer Engineering and Intelligent Systems, 2014)Empirical propagation models have found favor in both research and industrial communities owing to their speed of execution and their limited reliance on detailed knowledge of the terrain. In mobile communication the accuracy ... -
Complexity of Epidemics Models: A Case-Study of Cholera in Tanzania
(Springer Nature Switzerland AG., 2022-12-02)Timely prediction of Cholera epidemics is essential for preventing and controlling the size of an outbreak. Over the past years, there have been great initiatives in the development of Cholera epidemic models using ... -
Computational Fluid Dynamics of Manhole Overflow Due to Storm-water Inflow
(Journal of Mathematics and Informatics, 2020-01-20)In this study, the storm water overflow on manholes is numerically solved. To produce a real representation of storm overflow, the Navier-Stokes equations were used. Turbulence was modelled using the standard k-epsilon ... -
A computational study on the role of water and conformational fluctuations in Hsp90 in response to inhibitors
(Elsevier Inc., 2020-05)Molecular chaperone Heat Shock Protein 90 (Hsp90) represents an interesting chemotherapeutic target for cancer treatments as it plays a role in cancer proliferation. Thus, continued effort to identify novel inhibitors of ... -
Computer Science Education in Selected Countries from Sub-Saharan Africa
(ACM Inroads, 2024-02-20)Computer Science education in sub-Saharan Africa has evolved over the past decades. The number of institutions offering distinct undergraduate programs has grown, thus increasing the number of students enrolling in the ... -
Computer Science Education in Selected Countries from Sub-Saharan Africa
(Special Issue, 2024-03)Computer Science education in sub-Saharan Africa has evolved over the past decades. The number of institutions offering distinct undergraduate programs has grown, thus increasing the number of students enrolling in the ... -
Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters
(Elsevier, 2023-06)The ecosystem is confronted with numerous challenges as a consequence of the escalating human population and its corresponding activities. Among these challenges lies the degradation of forest biomass, which directly ... -
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 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 ... -
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 ... -
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 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 ... -
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 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) ...