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    Performance Evaluation of Highly Admixed Tanzanian Smallholder Dairy Cattle Using SNP Derived Kinship Matrix 

    Mujibi, Fidalis D. N.; Rao, James; Agaba, Morris; Nyambo, Devotha; Cheruiyot, Evans K.; Kihara, Absolomon; Zhang, Yi; Mrode, Raphael (Original Research, 2019-04-26)
    The main purpose of this study was to understand the type of dairy cattle that can be optimally used by smallholder farmers in various production environments such that they will maximize their yields without increasing ...
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    On the Identification of Required Security Controls Suitable for Converged Web and Mobile Applications 

    Nyambo, Devotha; Yonah, Zaipuna; Tarimo, Charles (International Journal of Computing and Digital Systems, 2016-01-01)
    Contemporary development of information systems for service delivery is at the present a matter of bringing together use of web and mobile applications. However, this advancement in the field of computing is happening at ...
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    An Approach for Systematically Analyzing and Specifying Security Requirements for the Converged Web-Mobile Applications 

    Nyambo, Devotha; Yonah, Zaipuna; Tarimo, Charles (Scientific Publishing Center, 2014-09-01)
    As the use of web and mobile applications is becoming pervasive for service delivery and user mobility support, enterprises are now increasingly fighting against a huge number of emerging security threats which interfere ...
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    Multi-agent based IoT smart waste monitoring and collection architecture 

    Likotiko, Eunice David; Nyambo, Devotha; Mwangoka, Joseph (International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2017-10)
    Solid waste management is one of the existing challenges in urban areas and it is becoming a critical issue due to rapid increase in population. Appropriate solid waste management systems are important for ...
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    Review of Security Frameworks in the Converged Web and Mobile Applications 

    Nyambo, Devotha; Yonah, Zaipuna O.; Tarimo, Charles (International Journal of Computer and Information Technology, 2014-07)
    As the Internet access is becoming pervasive there is an increasing number of mobile applications users. Enterprises are now reaching a diversified number of customers through the use of Web and mobile applications. However, ...
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    A Review of Characterization Approaches for Smallholder Farmers: Towards Predictive Farm Typologies. 

    Nyambo, Devotha; Luhanga, Edith; Yonah, Zaipuna (Hindawi, 2019-05-22)
    Characterization of smallholder farmers has been conducted in various researches by using machine learning algorithms, participatory and expert-based methods. All approaches used end up with the development of some subgroups ...
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    Application of Multiple Unsupervised Models to Validate Clusters Robustness in Characterizing Smallholder Dairy Farmers 

    Nyambo, Devotha; Luhanga, Edith; Yonah, Zaipuna; Mujibi, Fidalis (Hindawi The Scientific World Journal, 2019-01-02)
    The heterogeneity of smallholder dairy production systems complicates service provision, information sharing, and dissemination of new technologies, especially those needed to maximize productivity and profitability. In ...
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    Brix and Alcohol Content Monitoring using Wireless Sensor Network 

    Willa, Victor; Nyambo, Devotha; Sam, Anael (International Journal of Advances in Scientific Research and Engineering, 2021-07)
    Fermentation process plays an important role in the production of wine and beer, as these ferments convert Brix (sugar) into alcohol. Thus fermentation plays a key role in beer production hence ...
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    External Services and their Integration as a Requirement in Developing a Mobile Framework to Support Farming as a Business via Benchmarking: The Case of NM-AIST 

    Kyaruzi, John; Yonah, Zaipuna; Swai, Hulda; Nyambo, Devotha (TRANSACTIONS ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE, 2020-10-30)
    Research on agricultural and rural development (ARD) systems in general, and farming as a business (FAAB) in particular, face the limitation of availability of credible and reliable benchmarking data, both for on-farm ...
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    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 ...
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    Nyambo, Devotha (30)
    Kaijage, Shubi (5)Yonah, Zaipuna (5)Mduma, Neema (4)Sam, Anael (4)Tarimo, Charles (3)Dida, Mussa (2)Lisuma, Jacob (2)Luhanga, Edith (2)Lyimo, Tumaini (2)... View MoreSubjectTECHNOLOGY (3)Deep learning (2)Admixture (1)Agent based model (1)Agricultural and rural development (ARD) (1)Anylogic (1)application level security (1)Apriori (1)artificial intelligence (1)Association rule (1)... View MoreDate Issued2020 - 2025 (23)2014 - 2019 (7)Has File(s)Yes (30)

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