Leuphana Universität Lüneburg
Organisation: Institution
- Erschienen
Predicting the impacts of human population growth on forest mammals in the highlands of southwestern Ethiopia
Rodrigues, P., Dorresteijn, I., Guilherme, J. L., Hanspach, J., De Beenhouwer, M., Hylander, K., Bekele, B., Senbeta, F., Fischer, J. & Nimmo, D., 01.04.2021, in: Biological Conservation. 256, 109046.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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Predicting the Individual Mood Level based on Diary Data
Bremer, V., Becker, D., Funk, B. & Lehr, D., 06.2017, Proceedings of the 25th European Conference on Information Systems, ECIS 2017. AIS eLibrary, S. 1161-1177 17 S. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis
Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, in: Journal of Medical Internet Research. 20, 8, 11 S., e10275.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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Predicting Therapy Success For Treatment as Usual and Blended Treatment in the Domain of Depression
van Breda, W. R. J., Bremer, V., Becker, D., Funk, B., Ruwaard, J. & Riper, H., 01.06.2018, in: Internet Interventions. 12, S. 100-104 5 S.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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Prediction of improvement in quality of life (QoL-AGHDA) in adults with growth hormone deficiency by normative reference limits: data of the German KIMS cohort
Moock, J., Friedrich, N., Völzke, H., Spielhagen, C., Nauck, M., Koltowska-Häggström, M., Buchfelder, M., Wallaschofski, H. & Kohlmann, T., 01.10.2011, in: Growth Hormone and IGF Research. 21, 5, S. 272-278 7 S.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung
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Prediction of nanoparticle transport behavior from physicochemical properties: Machine learning provides insights to guide the next generation of transport models
Goldberg, E., Scheringer, M., Bucheli, T. D. & Hungerbühler, K., 2015, in: Environmental Sciences: Nano. 2, 4, S. 352-360 9 S.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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Prediction of the tool change point in a polishing process using a modular software framework
Meier, N., Papadoudis, J. & Georgiadis, A., 2020, in: Procedia CIRP. 88, S. 341-345 5 S.Publikation: Beiträge in Zeitschriften › Konferenzaufsätze in Fachzeitschriften › Forschung › begutachtet
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Predictions of entrepreneurial behavior: A personality approach
Rauch, A., 01.01.2014, Handbook of Research on Small Business and Entrepreneurship. Chell, E. & Karatas-Özkan, M. (Hrsg.). Edward Elgar Publishing, S. 165–184 20 S.Publikation: Beiträge in Sammelwerken › Kapitel › begutachtet
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Predictive Maintenance of Bearings Through IoT and Cloud-Based Systems
Meier, N., Georgiadis, A. & Sanchez, A., 03.2019, Proceedings of the 2019 International Conference on Industrial Engineering: A Regional Conference of Society for Industrial and Systems Engineering. Cordova, X., Garcia, G., Camacho, C., Vernaza, E., Fernandez, J. & Subramanian, A. (Hrsg.). Quito, Ecuador: Society for Industrial and Systems Engineering, S. 23 1 S.Publikation: Beiträge in Sammelwerken › Abstracts in Konferenzbänden › Forschung › begutachtet
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Predictive mapping of species richness and plant species' distributions of a peruvian fog oasis along an altitudinal gradient
Muenchow, J., Bräuning, A., Rodríguez, E. F. & von Wehrden, H., 09.2013, in: Biotropica. 45, 5, S. 557-566 10 S.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
