標(biāo)題: Titlebook: Inklusion; Zur Dekonstruktion v Hendrik Trescher Book 2015 Springer Fachmedien Wiesbaden 2015 Diskurs.Geistige Behinderung.Inklusionspotenz [打印本頁] 作者: Myelopathy 時間: 2025-3-21 18:58
書目名稱Inklusion影響因子(影響力)
書目名稱Inklusion影響因子(影響力)學(xué)科排名
書目名稱Inklusion網(wǎng)絡(luò)公開度
書目名稱Inklusion網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Inklusion被引頻次
書目名稱Inklusion被引頻次學(xué)科排名
書目名稱Inklusion年度引用
書目名稱Inklusion年度引用學(xué)科排名
書目名稱Inklusion讀者反饋
書目名稱Inklusion讀者反饋學(xué)科排名
作者: 瑣事 時間: 2025-3-21 21:03 作者: 談判 時間: 2025-3-22 01:14 作者: dilute 時間: 2025-3-22 05:40 作者: Accord 時間: 2025-3-22 10:09 作者: Integrate 時間: 2025-3-22 15:32
,Thematische Hinführung,r Bedeutung zu als den privaten Sozialbeziehungen. Diese sind im Lebensbereich Freizeit verankert, was umgekehrt bedeutet, dass Freizeit und deren Ausgestaltungsspielraum Grundvoraussetzung für die privaten Sozialbeziehungen ist. Freizeit wird somit zum immanent wichtigen Teil unseres Lebens.作者: overture 時間: 2025-3-22 20:26
Book 2015ozess der Dekonstruktion von Diskursteilhabebarrieren zu verstehen. Dieser Prozess muss sich in der Lebenspraxis vollziehen – in diesem Sinne werden auch praktische Vorschl?ge zur Verbesserung der Lebenssituation von Menschen mit geistiger Behinderung entwickelt.作者: 吵鬧 時間: 2025-3-23 00:14 作者: 無思維能力 時間: 2025-3-23 02:56 作者: 過于光澤 時間: 2025-3-23 08:00 作者: albuminuria 時間: 2025-3-23 12:25
,Empirische Phase I – Felder?ffnung,isierter Freizeitgestaltung gibt es überhaupt?“) nachging. Nach der Erhebung selbst fand ein Clustering der Ergebnisse statt, auf welche in der darauffolgenden Phase noch Bezug genommen wurde. Diese Erhebung bildet also eine Grundlage für die an diese Phase anschlie?ende empirische Phase II.作者: Wernickes-area 時間: 2025-3-23 17:19 作者: athlete’s-foot 時間: 2025-3-23 19:47 作者: Digitalis 時間: 2025-3-24 00:56
,Ausblick, Offenes und weiterführende Fragen,gen und Einzelergebnisse nicht zu schm?lern, nicht angebracht, die zentralen Ergebnisse zu bündeln bzw. eng zu subsumieren. Auf eine erneute Reproduktion der Ergebnisse wird hier in der Summe also verzichtet. Vielmehr werden einzelne Ergebnisse in Bezug auf die gew?hlten Methoden (Kapitel 8.1), die 作者: CRACY 時間: 2025-3-24 02:25 作者: emission 時間: 2025-3-24 09:34 作者: Aerate 時間: 2025-3-24 11:20
Hendrik Trescherson is that the satellite data are continuous in time, in contrast to conventional network observations carried out at prescribed standard terms. But the most part of remote sensing data arrives just between such terms. Another reason is that the remotely sensed meteorological parameters have to be 作者: 迷住 時間: 2025-3-24 17:17
Hendrik Trescherson is that the satellite data are continuous in time, in contrast to conventional network observations carried out at prescribed standard terms. But the most part of remote sensing data arrives just between such terms. Another reason is that the remotely sensed meteorological parameters have to be 作者: ODIUM 時間: 2025-3-24 22:14 作者: 沉默 時間: 2025-3-25 00:14 作者: myelography 時間: 2025-3-25 04:14
Hendrik Trescherhe important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals 作者: Alveoli 時間: 2025-3-25 10:57
Hendrik Trescherhe important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals 作者: cochlea 時間: 2025-3-25 15:39 作者: 過多 時間: 2025-3-25 19:43
Hendrik Trescherfy noise and require careful parameter selection for an optimal trade-off between sharpness and grain. Deep learning methods allow for flexible parametrization of the noise and learning its properties directly from the data. Recently, self-supervised blind-spot neural networks were successfully adop作者: Lumbar-Stenosis 時間: 2025-3-25 21:05 作者: Sad570 時間: 2025-3-26 03:19
nd treatment of gliomas. Recent advances in deep learning methods have made a significant step towards a robust and automated brain tumor segmentation. However, due to the variation in shape and location of gliomas, as well as their appearance across different tumor grades, obtaining an accurate and作者: Pastry 時間: 2025-3-26 07:26
Hendrik Treschernse is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about 978-3-031-00688-3978-3-031-01816-9Series ISSN 2153-1056 Series E-ISSN 2153-1064 作者: misshapen 時間: 2025-3-26 08:57 作者: HAUNT 時間: 2025-3-26 13:24
Hendrik Treschernse is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about 978-3-031-00688-3978-3-031-01816-9Series ISSN 2153-1056 Series E-ISSN 2153-1064 作者: 小卷發(fā) 時間: 2025-3-26 18:03 作者: NIP 時間: 2025-3-27 00:53 作者: 腐爛 時間: 2025-3-27 03:09
Hendrik Trescherpoints, but rather averaged values related to some not fully certain weight functions. The third reason is that, actually, the operator of the inverse remote sensing problem does not maintain some constant magnitudes in spatial and temporal coordinates, but, really, it is subjected by disturbances o作者: multiply 時間: 2025-3-27 06:56 作者: FUSE 時間: 2025-3-27 13:03
Hendrik Treschertions into multiple samples with a single annotation and shuffle them into different batches. To handle label noise, pseudo-labels are generated using the similarity between each sample and the central feature of each class, and temporal ensembling is used to obtain memory pseudo-labels that supervi作者: 防銹 時間: 2025-3-27 15:43
Hendrik Treschertion and empirically identify its optimal position in the neural network between blind-spot and full image branches. The experimental results show that our improved framework outperforms the previous state-of-the-art deconvolution methods with a known point spread function.作者: 類型 時間: 2025-3-27 18:12
Hendrik Trescherning methods for medical image classification. The benchmark consists of two chest X-ray datasets for 19- and 20-way thorax disease classification, containing classes with as many as 53,000 and as few as 7 labeled training images. We evaluate both standard and state-of-the-art long-tailed learning m作者: brassy 時間: 2025-3-27 23:39 作者: 優(yōu)雅 時間: 2025-3-28 03:32
Hendrik TrescherSozialwissenschaftliche Studie.Includes supplementary material: 作者: 路標(biāo) 時間: 2025-3-28 09:42 作者: 性上癮 時間: 2025-3-28 10:55
978-3-658-09587-1Springer Fachmedien Wiesbaden 2015
