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Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level.

, , , , , and . HICSS, page 1-11. ScholarSpace, (2022)

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Supporting Resilience in Rural Emergency Preparedness and Response Through Improved Information Access., , , , , , and . GetMobile Mob. Comput. Commun., 24 (2): 5-11 (2020)Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level., , , , , and . HICSS, page 1-11. ScholarSpace, (2022)Modulation Recognition IQ Samples Across Heterogeneous Sensors., , , and . (November 2022)Does Co-Creation Affect the Adoption of IT-Enabled Solutions? The Case of a Mobile Application for Emergency Preparedness., , , , , , and . HICSS, page 1951-1960. ScholarSpace, (2023)Improving Emergency Preparedness and Response in Rural Areas., , , , , , and . COMPASS, page 66-78. ACM, (2021)VIA: Establishing the link between spectrum sensor capabilities and data analytics performance., , , and . INFOCOM, page 2229-2238. IEEE, (2024)Demo: EApp: Improving Rural Emergency Preparedness and Response., , , , and . S3@MobiCom, page 12. ACM, (2019)CORE: Connectivity Optimization via REinforcement Learning in WANETs., , , , and . SECON, page 1-9. IEEE, (2021)WideRate: Reinforcement Learning Rate Adaptation for Mobile Wide Area Networks., , , , , and . VTC Spring, page 1-6. IEEE, (2024)Towards Data-Driven Policies in Spectrum Management., , , , , , and . DySPAN, page 163-168. IEEE, (2024)