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GNSS-based orbit and geodetic parameter estimation by means of simulated Genesis data

• Authors : Arnold, Daniel; Montenbruck, Oliver; Steigenberger, Peter

Subjects: 520 Astronomy

• Source: Arnold, Daniel; Montenbruck, Oliver; Steigenberger, Peter; Miller, Alexandra; Kobel, Cyril; Jäggi, Adrian (19 April 2024). GNSS-based orbit and geodetic parameter

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Image co-registration for triggered and non-triggered DTI of the human kidney: Reduced variability of diffusion parameter estimation

• Authors : Seif, Maryam; Lu, Huanxiang; Boesch, Christoph Hans

• Source: Seif, Maryam; Lu, Huanxiang; Boesch, Christoph Hans; Reyes, Mauricio; Vermathen, Peter (2012). Image co-registration for triggered and non-triggered DTI of the human kidney: Reduced variability of

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Hydrological model performance and parameter estimation in the wavelet-domain

• Authors : Schaefli, B.; Zehe, E.

Subjects: 910 Geography & travel

• Source: Schaefli, B.; Zehe, E. (2009). Hydrological model performance and parameter estimation in the wavelet-domain. Hydrology and earth system

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ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages.

• Authors : Vashistha, Rajat; Moradi, Hamed; Hammond, Amanda

Subjects: 570 Life sciences; biology; 610 Medicine & health

• Source: Vashistha, Rajat; Moradi, Hamed; Hammond, Amanda; O'Brien, Kieran; Rominger, Axel; Sari, Hasan; Shi, Kuangyu; Vegh, Viktor; Reutens, David (2024). ParaPET: non-invasive deep learning method for direct

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Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science

• Authors : Caldararu, Silvia; Rolo, Victor; Stocker, Benjamin D.

Subjects: 910 Geography & travel

• Source: Caldararu, Silvia; Rolo, Victor; Stocker, Benjamin D.; Gimeno, Teresa E.; Nair, Richard (2023). Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance

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The Impact of Purifying and Background Selection on the Inference of Population History: Problems and Prospects

• Authors : Johri, Parul; Riall, Kellen; Becher, Hannes

Subjects: 570 Life sciences; biology

• Source: Johri, Parul; Riall, Kellen; Becher, Hannes; Excoffier, Laurent; Charlesworth, Brian; Jensen, Jeffrey D. (2021). The Impact of Purifying and Background Selection on the Inference of Population

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Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets

• Authors : Dembélé, Moctar; Hrachowitz, Markus; Savenije, Hubert H. G.

Subjects: 910 Geography & travel; 500 Science

• Source: Dembélé, Moctar; Hrachowitz, Markus; Savenije, Hubert H. G.; Mariéthoz, Grégoire; Schaefli, Bettina (2020). Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on

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Generic Conditions for Forecast Dominance

• Authors : Krüger, Fabian; Ziegel, Johanna F.

Subjects: 330 Economics; 510 Mathematics

• Source: Krüger, Fabian; Ziegel, Johanna F. (2020). Generic Conditions for Forecast Dominance. Journal of Business and Economic Statistics, 39(4), pp. 972-983. Taylor & Francis 10.1080/07350015.2020.1741376

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Information theoretic results for stationary time series and the Gaussian-generalized von Mises time series

• Authors : Gatto, Riccardo

Subjects: 510 Mathematics

• Source: Gatto, Riccardo (2021). Information theoretic results for stationary time series and the Gaussian-generalized von Mises time series (In Press) (arXiv). Cornell University

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Improving the SLR network calibration through GPS-based precise orbit determination of LEO satellites

• Authors : Montenbruck, O.; Arnold, Daniel; Sosnica, Krzysztof Jakub

Subjects: 520 Astronomy

• Source: Montenbruck, O.; Arnold, Daniel; Sosnica, Krzysztof Jakub; Jäggi, Adrian; Hackel, S. (2018). Improving the SLR network calibration through GPS-based precise orbit determination of LEO satellites. In:

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