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Titlebook: Handbuch Methoden der empirischen Sozialforschung; Nina Baur,J?rg Blasius Book 20141st edition Springer Fachmedien Wiesbaden 2014 Daten.Ex

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樓主: 銀河
41#
發(fā)表于 2025-3-28 15:35:54 | 只看該作者
42#
發(fā)表于 2025-3-28 21:28:16 | 只看該作者
Stichprobenziehung in der qualitativen Sozialforschungmüssen, die in Form von Datenmaterial nach wissenschaftlichen Gesichtspunkten ausgewertet und verallgemeinert werden k?nnen. Diese Daten werden aus einer unendlichen Fülle von m?glichen Daten mehr oder weniger gezielt gewonnen. Das Thema ?Stichprobenziehung“ oder ?Sampling“ begleitet dabei den gesam
43#
發(fā)表于 2025-3-28 23:01:25 | 只看該作者
44#
發(fā)表于 2025-3-29 03:23:06 | 只看該作者
us communication of multiple D2D users in a single cell gives rise to interference. In this paper, we have presented a distributed power control algorithm to mitigate the interference in a macrocell of D2D and cellular users. We perform numerical simulations to analyze the performance of the algorithm.
45#
發(fā)表于 2025-3-29 08:03:43 | 只看該作者
46#
發(fā)表于 2025-3-29 14:22:30 | 只看該作者
nd ordering in the set of criteria, and strength and weakness of one criteria with another. We examine a test metric to infer on coverage and adequacy of testing achieved through it using Weyuker’s set of properties. We enumerate a list of desirables those we thought contributed the effective structure in test coverage metric.
47#
發(fā)表于 2025-3-29 18:39:58 | 只看該作者
used to develop structure of FNT and differential evolution for fine tunning of the parameters. Framework was tested for its correctness and scalability on Anselm cluster. Scalability experiments prove good performance results.
48#
發(fā)表于 2025-3-29 23:25:26 | 只看該作者
Irena Medjedovi?e carried out on the different volumetric region, and a further combination of all the regions is considered. The proposed approach is tested on three useful challenging databases, namely Frav3D, Bosphorous, and GavabDB.
49#
發(fā)表于 2025-3-30 02:01:53 | 只看該作者
Ekkehard Mochmann data, and the activities are classified using Naive Bayes, kNN and SVM classifiers. This research work gives an insight to the researchers into the application of activity recognition in smart homes.
50#
發(fā)表于 2025-3-30 04:34:58 | 只看該作者
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