Computational and Communication Science Engineering: Recent submissions
Now showing items 81-100 of 601
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Sensitivity analysis and parameters estimation for the transmission of lymphatic filariasis
(Heliyon, 2023-05-16)Lymphatic filariasis is a neglected tropical disease which poses public health concern and socio- economic challenges in developing and low-income countries. In this paper, we formulate a deterministic mathematical model ... -
AI for anglophone africa: unlocking its adoption for responsible solutions in academia-private sector
(Frontiers, 2023-04-11)In recent years, AI technologies have become indispensable in social and industrial development, yielding revolutionary results in improving labor efficiency, lowering labor costs, optimizing human resource structure, ... -
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 ... -
Sniffing Oriental Aromatic Scents: The Perfumery Trope in Eroticized Swahili Odes.
(Journal of the Institute of Kiswahili Studies, 2020)Swahili poets of the eighteenth and nineteenth centuries have foregrounded adapted perfumery customs with great reverence in their works. It functions as a vital cue to trans-Indian Ocean commonalities and as a marker ... -
Heat and mass transfer investigation of unsteady magnetohydro dynamic nanofluid flow in a porous pipe in the presence of chemical reactions
(Journal of Engineering and Technology Research, 2023-08-30)This article presents a numerical investigation of mass and heat transfer effects on an unsteady Magnetohydrodynamic (MHD) nanofluid flow in a permeable pipe. The influences of the chemical reaction and magnetic flux are ... -
The role of modeling in the epidemiology and control of lumpy skin disease: a systematic review
(Springer Berlin Heidelb, 2023-09-15)Lumpy skin disease (LSD) is an economically important viral disease of cattle caused by lumpy disease virus (LSDV) and transmitted by blood-feeding insects, such as certain species of flies and mosquitoes, or ticks. Direct ... -
Mobile-Based convolutional neural network model for the early identification of banana diseases
(Elsevier, 2024-02-29)This study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium Wilt and Black Sigatoka in bananas. In this paper, a Convolutional Neural Network (CNN) model for the ... -
A remote vehicle health monitoring system: a case study of the kayoola electric vehicles
(NM-AIST, 2023-07)Due to their complex hardware and software, vehicle systems are challenging to monitor and maintain. As a result, the absence of proper vehicle health monitoring systems leads to several issues, including resource waste, ... -
The artificial neural networks-based smart number plate of vehicles with real-time traffic signs recognition and notification: a case study of public transport in EAST AFRICAN COMMUNITY (EAC)
(NM-AIST, 2023-08)The world is advancing technologically in all sectors, including intelligent transportation, whereby various vehicles' movements are monitored and controlled remotely. These technologies simplify the tasks in traffic ... -
A monitoring system for transboundary foot and mouth disease considering livestock keepers demographic characteristics
(NM-AIST, 2023-03)Foot and Mouth disease (FMD) is a transboundary disease caused by a virus that affects domestic and wild cloven-hooved animals such as sheep, goats, pigs, and buffalos. FMD is transmitted from one animal to another through ... -
Development of an implementation framework and social media analytics tool for Tanzania's tourism small and medium-sized enterprises
(NM-AIST, 2023-08)Tourism is among the sectors that contribute greatly to the economic development of many countries. The industry contributes the growth of countries' economies and employment in 2019 it contributed 10.3% of the global ... -
Development of early warning system for human wildlife conflict using deep learning, iot and sms
(NM-AIST, 2023-08)Human-wildlife conflict is a significant challenge to communities living in areas close to wildlife game parks and reserves. It is more evident in the United Republic of Tanzania whose economy depends on agriculture and ... -
Brix and alcohol content monitoring using wireless sensor network
(NM-AIST, 2023-08)The fermentation process plays a vital role in the production of wine and beer by converting Brix (Sugar) into alcohol. Consequently, monitoring this fermentation is crucial for breweries to ensure the quality of their ... -
Real-time IoT-based air quality monitoring and health hazards indicator system for mines regions: a case study of Bulyanhulu gold mine
(NM-AIST, 2023-07)Air quality in mining regions is a significant concern due to the potential release of pollutants from mining activities and associated processes. The proximity of mining operations to communities can have detrimental ... -
Smart system for monitoring and controlling oxygen gas level in high purity germanium detector room: a case study of Tanzania atomic energy commission, Arusha-Tanzania
(NM-AIST, 2023-07)Low-oxygen air causes death all around the world. Even though the number of fatalities varies from year to year and location to location, nitrogen gas replaces oxygen in the atmosphere, increasing its percentage to less ... -
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 ... -
Mobile-Based convolutional neural network model for the early identification of banana diseases
(Elsevier, 2024-02-29)This study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium Wilt and Black Sigatoka in bananas. In this paper, a Convolutional Neural Network (CNN) model for the ... -
Fabrication of liposome-chitosan-zno nanohybrid integrated with Carissa Spinarum extract for antibacterial application
(NM-AIST, 2023-08)Innovative biomaterials provide a stimulating and adaptable platform for the implementation of new and more effective methods to prevent bacterial infection. Built on biomimetic- inorganic hybrid material, Dual Nanohybrid ... -
Integrated machine learning based quality measurement model for maternal, neonatal and child health services in Tanzania
(NM-AIST, 2022-08)The high maternal and neonatal mortality rate has remained a challenge for most developing countries. Scholars link the high death occurrences to the poor quality of health services provided to pregnant women and children. ... -
The needs and opportunities for housing improvement for malaria control in Southern Tanzania
(NM-AIST, 2023-07)There is evidence that mosquito-proofed houses can reduce malaria risk. However, housing improvement is rarely included in malaria control toolboxes. This study assessed the need, magnitude, and opportunities for housing ...
