• Login
    Search 
    •   NM-AIST Home
    • Computational and Communication Science Engineering
    • Research Articles [CoCSE]
    • Search
    •   NM-AIST Home
    • Computational and Communication Science Engineering
    • Research Articles [CoCSE]
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-4 of 4

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN Model 

    Nyambo, Devotha; Mduma, Neema; Sinde, Ramadhani; Lyimo, Tumaini (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 ...
    Thumbnail

    Machine learning model for predicting Peste des Petits Ruminants 

    Nyambo, Devotha; Ngulumbi, Nguse; Mduma, Neema; Sinde, Ramadhani; Lyimo, Tumaini (IEEE, 2023-11-16)
    Peste des petits ruminants (PPR) is a viral disease that affects small ruminants and is prevalent in many developing countries, particularly in Africa and Asia. It can spread through direct contact, air, and contaminated ...
    Thumbnail

    Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants 

    Kimei, Erica; Nyambo, Devotha; Mduma, Neema; Kaijage, Shubi (MDPI, 2024-03-06)
    Uncertainty quantification and sensitivity analysis are essential for improving the modeling and estimation of greenhouse gas emissions in livestock farming to evaluate and reduce the impact of uncertainty in input parameters ...
    Thumbnail

    A Deep Learning Model for Predicting Stock Prices in Tanzania 

    Joseph, Samuel; Mduma, Neema; Nyambo, Devotha (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 ...

    Nelson Mandela-AIST copyright © 2021  DuraSpace
    Theme by 
    Atmire NV
     

     

    Browse

    All PublicationsCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Discover

    Author
    Mduma, Neema (4)
    Nyambo, Devotha (4)
    Lyimo, Tumaini (2)Sinde, Ramadhani (2)Joseph, Samuel (1)Kaijage, Shubi (1)Kimei, Erica (1)Ngulumbi, Nguse (1)Subjectcarbon dioxide (1)Dar es Salaam stock exchange (1)data synthesis (1)Deep learning (1)EcoPrecision framework (1)greenhouse gas emission (1)Livestock health (1)livestock health; (1)Machine Learning (1)machine learning (1)... View MoreDate Issued2023 (3)2024 (1)Has File(s)Yes (4)

    Nelson Mandela-AIST copyright © 2021  DuraSpace
    Theme by 
    Atmire NV