Hasil Pencarian - Engineer Bainomugisha

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  1. 1
    Design Considerations for a Distributed Low-Cost Air Quality Sensing System for Urban Environments in Low-Resource Settings

    Design Considerations for a Distributed Low-Cost Air Quality Sensing System for Urban Environments in Low-Resource Settings oleh Engineer Bainomugisha, Joel Ssematimba, Deo Okure

    Diterbitkan 2023-02-01
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  2. 2
    MoMTSim: A Multi-Agent-Based Simulation Platform Calibrated for Mobile Money Transactions

    MoMTSim: A Multi-Agent-Based Simulation Platform Calibrated for Mobile Money Transactions oleh Denish Azamuke, Marriette Katarahweire, Engineer Bainomugisha

    Diterbitkan 2024-01-01
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  3. 3
    Determination of Satellite-Derived PM<sub>2.5</sub> for Kampala District, Uganda

    Determination of Satellite-Derived PM<sub>2.5</sub> for Kampala District, Uganda oleh Christine Atuhaire, Anthony Gidudu, Engineer Bainomugisha, Allan Mazimwe

    Diterbitkan 2022-03-01
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  4. 4
    Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors

    Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors oleh Priscilla Adong, Engineer Bainomugisha, Deo Okure, Richard Sserunjogi

    Diterbitkan 2022-09-01
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  5. 5
    LowPaxos: State Machine Replication for Low Resource Settings

    LowPaxos: State Machine Replication for Low Resource Settings oleh Alex Mwotil, Thomas Anderson, Benjamin Kanagwa, Theano Stavrinos, Engineer Bainomugisha

    Diterbitkan 2024-01-01
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  6. 6
    Exploring PM2.5 variations from calibrated low-cost sensor network in Greater Kampala, during COVID-19 imposed lockdown restrictions: Lessons for Policy

    Exploring PM2.5 variations from calibrated low-cost sensor network in Greater Kampala, during COVID-19 imposed lockdown restrictions: Lessons for Policy oleh Paul Green, Deo Okure, Priscilla Adong, Richard Sserunjogi, Engineer Bainomugisha

    Diterbitkan 2022-06-01
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  7. 7
    A Social Vulnerability Index for Air Pollution and Its Spatially Varying Relationship to PM<sub>2.5</sub> in Uganda

    A Social Vulnerability Index for Air Pollution and Its Spatially Varying Relationship to PM<sub>2.5</sub> in Uganda oleh Kayan Clarke, Kevin Ash, Eric S. Coker, Tara Sabo-Attwood, Engineer Bainomugisha

    Diterbitkan 2022-07-01
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  8. 8
    AI-driven environmental sensor networks and digital platforms for urban air pollution monitoring and modelling

    AI-driven environmental sensor networks and digital platforms for urban air pollution monitoring and modelling oleh Engineer Bainomugisha, Priscah Adrine Warigo, Faith Busigu Daka, Angela Nshimye, Maclina Birungi, Deo Okure

    Diterbitkan 2024-06-01
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  9. 9
    AirQo sensor kit: A particulate matter air quality sensing kit custom designed for low-resource settings

    AirQo sensor kit: A particulate matter air quality sensing kit custom designed for low-resource settings oleh Engineer Bainomugisha, Joel Ssematimba, Deogratius Okedi, Anold Nsubuga, Marvin Banda, George William Settala, Gideon Lubisia

    Diterbitkan 2023-12-01
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  10. 10
    Air quality management strategies in Africa: A scoping review of the content, context, co-benefits and unintended consequences

    Air quality management strategies in Africa: A scoping review of the content, context, co-benefits and unintended consequences oleh Gabriel Okello, Rebecca Nantanda, Babatunde Awokola, Meelan Thondoo, Deo Okure, Lambed Tatah, Engineer Bainomugisha, Tolu Oni

    Diterbitkan 2023-01-01
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  11. 11
    Seeing the air in detail: Hyperlocal air quality dataset collected from spatially distributed AirQo network

    Seeing the air in detail: Hyperlocal air quality dataset collected from spatially distributed AirQo network oleh Richard Sserunjogi, Joel Ssematimba, Deo Okure, Daniel Ogenrwot, Priscilla Adong, Lillian Muyama, Noah Nsimbe, Martin Bbaale, Engineer Bainomugisha

    Diterbitkan 2022-10-01
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  12. 12
    Identifying globally relevant learnings from Africa’s challenges and solutions to climate change and air pollution-related health impacts: a data science scoping review protocol

    Identifying globally relevant learnings from Africa’s challenges and solutions to climate change and air pollution-related health impacts: a data science scoping review protocol oleh Tolu Oni, Anelisa Jaca, Thandi Kapwata, Rajen Naidoo, Babatunde Awokola, Sokhna Thiam, Kiros T Berhane, Caradee Yael Wright, Natasha Naidoo, Engineer Bainomugisha, Suzana Blesic, Anderson Kehbila, Bono Nemukula, Benjamin Kofi Nyarko, Akinkunmi Paul Okekunle, Reginald Quansah, Ibrahim Sidi Zakari, Negussie Beyene

    Diterbitkan 2024-05-01
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