102,698 research outputs found

    Hierarchische Modellierung und Bewertung von Proteindockingpositionen

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    Ackermann F, Porczynski G, Posch S, Sagerer G. Hierarchische Modellierung und Bewertung von Proteindockingpositionen. In: Proc. Bioinformatik — Computereinsatz in der Biowissenschaft. Jena: Insitut für Molekulare Biotechnologie; 1994: 19-29

    Representing Procedural Knowledge for Semantic Networks using Neural Nets

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    Moratz R, Heidemann G, Posch S, Ritter H, Sagerer G. Representing Procedural Knowledge for Semantic Networks using Neural Nets. In: Proc. 9th Scandinavian Conference on Image Processing. 1995: 819-828

    Controlling Multiple Neural Nets with Semantic Networks

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    Moratz R, Posch S, Sagerer G. Controlling Multiple Neural Nets with Semantic Networks. In: Proceedings 16. DAGM-Symposium. 1994: 288-295

    Towards Evaluation of Docking Hypotheses using elastic Matching

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    Neumann S, Posch S, Sagerer G. Towards Evaluation of Docking Hypotheses using elastic Matching. In: Computer Science and Biology: Proceedings of the German Conference on Bioinformatics. Hannover; 1999: 220

    Statistical classification and segmentation of biomolecular surfaces

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    Schillo C, Herrmann G, Ackermann F, Posch S, Sagerer G. Statistical classification and segmentation of biomolecular surfaces. In: Proceedings International Conference on Image Processing. Washinton, D.C.: IEEE Computer Society Press; 1995: 560-563

    Segmentation of molecular surfaces based on their convex hull

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    Meier R, Ackermann F, Herrmann G, Posch S, Sagerer G. Segmentation of molecular surfaces based on their convex hull. In: Proceedings International Conference on Image Processing. Washington, D.C: IEEE Computer Society Press; 1995: 552-555

    Ellipsenbasierte 3-D Rekonstruktion

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    Socher G, Merz T, Posch S. Ellipsenbasierte 3-D Rekonstruktion. In: Sagerer G, Posch S, Kummert F, Deutsche Arbeitsgemeinschaft für Mustererkennung, Österreichische Computer Gesellschaft. Arbeitskreis für Mustererkennung, eds. Mustererkennung 1995. Verstehen akustischer und visueller Informationen. Informatik Aktuell. Berlin ; Heidelberg ; New York, NY ; Barcelona ; Hongkong ; London ; Mailand ; Paris ; Singapur ; Tokio: Springer; 1995: 252-259

    An Approach for Qualitatively Predicting Relations from Relations

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    Fuhr T, Kummert F, Posch S, Sagerer G. An Approach for Qualitatively Predicting Relations from Relations. In: Sandewall E, Jansson CG, eds. Fourth Scandinavian Conference on Artificial Intelligence — 93. Stockholm: IOS Press, Amsterdam; 1993: 38-49

    Probing the relationship between electromagnetic ion cyclotron waves and plasmaspheric plumes near geosynchronous orbit

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    Plasmaspheric plumes created during disturbed geomagnetic conditions have been suggested as a major cause of increased occurrences of electromagnetic ion cyclotron (EMIC) waves at these times. We have catalogued occurrences of strong Pc1 EMIC waves from 1996 through 2003 at three automated geophysical observatories operated by the British Antarctic Survey at auroral zone latitudes in Antarctica (L = 6.28, 7.68, and 8.07) and have compared them to the occurrence of plasmaspheric plumes in space, using simultaneous data from the Magnetospheric Plasma Analyzer on the Los Alamos National Laboratory 1990-095 spacecraft, in geosynchronous orbit at the same magnetic longitude. A superposed epoch analysis of these data was conducted for several categories of disturbed geomagnetic conditions, including magnetic storms, high-speed streams, and storm sudden commencements. We found only a weak correspondence between the occurrence of strong Pc1 waves observed on the ground and either plasmaspheric plumes or intervals of extended plasmasphere at geosynchronous orbit before, during, or after the onset of any of these categories. Strong Pc1 activity peaked near or slightly after local noon during all storm phases, consistent with equatorial observations by the Active Magnetospheric Particle Tracer Explorers/Charge Composition Explorer satellite at these L shells. The highest Pc1 occurrence probability was at or 1-2 days before storm onset and during the late recovery phase. Occurrence was lowest during the early recovery phase, consistent with the decrease in solar wind pressure often seen at this time. The peak at onset is consistent with earlier observations of waves in the outer magnetosphere stimulated by sudden impulses and magnetospheric compressions

    Kontrollstrategie für ein wissensbasiertes System zur Makromolekularen Erkennung

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    Herrmann G, Kummert F, Posch S, Sagerer G. Kontrollstrategie für ein wissensbasiertes System zur Makromolekularen Erkennung. Informatik Aktuell. 1997:602-609
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