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Daniel Schürholz
Daniel Schürholz
Data Science and Tech Group, Leibniz Centre for Marine Tropical Research (ZMT) - Bremen, Germany
Overená e-mailová adresa na: leibniz-zmt.de
Názov
Citované v
Citované v
Rok
Artificial intelligence-enabled context-aware air quality prediction for smart cities
D Schürholz, S Kubler, A Zaslavsky
Journal of Cleaner Production 271, 121941, 2020
832020
Seeing the forest for the trees: Mapping cover and counting trees from aerial images of a mangrove forest using artificial intelligence
D Schürholz, GA Castellanos-Galindo, E Casella, JC Mejía-Rentería, ...
Remote Sensing 15 (13), 3334, 2023
162023
Digitizing the coral reef: Machine learning of underwater spectral images enables dense taxonomic mapping of benthic habitats
D Schürholz, A Chennu
Methods in Ecology and Evolution 14 (2), 596-613, 2023
162023
Myaqi: Context-aware outdoor air pollution monitoring system
D Schürholz, M Nurgazy, A Zaslavsky, PP Jayaraman, S Kubler, K Mitra, ...
Proceedings of the 9th International Conference on the Internet of Things, 1-8, 2019
112019
Context-and situation prediction for the MyAQI urban air quality monitoring system
D Schürholz, A Zaslavsky, S Kubler
Internet of Things, Smart Spaces, and Next Generation Networks and Systems …, 2019
12019
for the MyAQI Urban Air Quality Monitoring System
D Schürholz, A Zaslavsky¹, S Kubler
Internet of Things, Smart Spaces, and Next Generation Networks and Systems …, 2019
2019
Context-and situation prediction for outdoor air quality monitoring
D Schürholz
2019
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–7