Browsing Research Articles [CoCSE] by Title
Now showing items 50-69 of 361
-
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 ... -
A comprehensive survey on linear programming and energy optimization methods for maximizing lifetime of wireless sensor network
(Springer Link, 2024-07-17)The wireless sensor network (WSN) is considered as a network, encompassing small-embedded devices named sensors that are wirelessly connected to one another for data forwarding within the network. These sensor nodes (SNs) ... -
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 ... -
Convolutional Neural Network Deep Learning Model for Early Detection of Streak Virus and Lethal Necrosis in Maize: A Case of Northern-Highlands, Tanzania
(Springer Link, 2024-06-30)In the Tanzanian context, maize is the dominant food crop that serves as a significant common and traditional food being grown in about 45% of the country’s farmland. However, its productivity is hindered by diseases that ... -
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 ... -
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 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) ...