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Titlebook: Hormonale St?rungen in der Gyn?kologie; Diagnostik und Behan Paul J. Keller Book 19843rd edition Springer-Verlag Berlin Heidelberg 1984 End

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樓主: Concave
21#
發(fā)表于 2025-3-25 03:27:08 | 只看該作者
Gesine Tuitjerdel und in der Tourismusbranche. Hierbei interessierte nicht nur, welche Kontaktpunkte von den Kunden genutzt werden, sondern auch welche Funktionen und welche Bedeutung diese für die Kunden im Kaufprozess haben und welche Unterschiede zwischen einzelnen Phasen im Kaufprozess existieren. Neben der B
22#
發(fā)表于 2025-3-25 08:13:34 | 只看該作者
23#
發(fā)表于 2025-3-25 14:23:40 | 只看該作者
GEODIM: A Semantic Model-Based System for 3D Recognition of Industrial Sceneserly, and valued description of the items within the plant. One way to accomplish this task within scanned industrial scenes is through the combination of an object recognition algorithm with semantic technology. This research therefore introduces GEODIM, a semantic model-based system for recognitio
24#
發(fā)表于 2025-3-25 16:04:27 | 只看該作者
25#
發(fā)表于 2025-3-25 21:27:55 | 只看該作者
26#
發(fā)表于 2025-3-26 01:45:59 | 只看該作者
27#
發(fā)表于 2025-3-26 08:03:19 | 只看該作者
1387-666X , greedy randomized adaptive search procedures (GRASP), scat.Metaheuristics: Progress as Real Problem Solvers. is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field. Included are an invited paper by F. Glover and G. Kochenberger, which discusses the c
28#
發(fā)表于 2025-3-26 10:09:29 | 只看該作者
Pathways to Illness, Pathways to Healthsolved. Reflexive practice is about recognising who we are and how we are part of the worlds we study; this will be explored alongside the tensions involved in managing a research relationship rather than a therapeutic relationship.
29#
發(fā)表于 2025-3-26 13:47:34 | 只看該作者
30#
發(fā)表于 2025-3-26 18:22:56 | 只看該作者
https://doi.org/10.1007/978-3-531-90253-1f communities in mobile user network. Principal Component Analysis (PCA) is employed to capture the dominant behavioral patterns and uncover the several communities in the network. At last, we use communities/clusters to work out the various interests of the users on the timeline of the day.
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