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Titlebook: Virginia Woolf‘s Rooms and the Spaces of Modernity; Suzana Zink Book 2018 The Editor(s) (if applicable) and The Author(s) 2018 spatial ima

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31#
發(fā)表于 2025-3-27 00:09:17 | 只看該作者
32#
發(fā)表于 2025-3-27 04:28:56 | 只看該作者
https://doi.org/10.1007/978-3-319-71909-2spatial imaginary; tropes of rooms; socio-cultural issues; Virginia Woolf; modernist literature; transnat
33#
發(fā)表于 2025-3-27 07:19:22 | 只看該作者
34#
發(fā)表于 2025-3-27 10:48:55 | 只看該作者
Virginia Woolf‘s Rooms and the Spaces of Modernity978-3-319-71909-2Series ISSN 2578-9694 Series E-ISSN 2634-5188
35#
發(fā)表于 2025-3-27 15:16:29 | 只看該作者
Suzana ZinkEngages with Virginia Woolf’s fiction, essays, and autobiographical writings.Expands the trope of rooms to look at the intersection between textual, physical, and metaphorical meanings of space.Connec
36#
發(fā)表于 2025-3-27 20:32:15 | 只看該作者
2578-9694 oms as loci of memory in her unfinished memoir. Zink masterfully shows the spatial formation of rooms to be at the heart of Woolf’s interweaving of the political and the aesthetic, revealing an understanding of space as dynamic and relational..978-3-319-89119-4978-3-319-71909-2Series ISSN 2578-9694 Series E-ISSN 2634-5188
37#
發(fā)表于 2025-3-27 22:18:26 | 只看該作者
and the use of a knowledge store like DBpedia allows for enriching the query terms based on the topics discovered. The video dataset is categorized using a combination of Random Forest and decision tree-bagging techniques, which are based on the extracted features of the videos. The proposed SemVidR
38#
發(fā)表于 2025-3-28 05:24:26 | 只看該作者
Suzana Zinks and influence meta privacy. In addition, we recommend some techniques for the protection of meta privacy within the information systems. Further, the paper highlights the importance of ensuring all informational elements of information systems are adequately protected from a privacy perspective.
39#
發(fā)表于 2025-3-28 09:41:56 | 只看該作者
Suzana Zinktaset images and 10640 augmented images dataset. Finally, the outcomes will be analyzed separately with respect to precise and loss functions. Before the implementation of augmentation approach, the proposed model has achieved 99.61% training and 77.44% classification accuracies and does not control
40#
發(fā)表于 2025-3-28 11:38:27 | 只看該作者
Suzana Zinkal and subtle changes in behaviour can be clearly understood. Soft computing techniques are needed due to the high degree of uncertainty in the inference process. We also describe a trial of the system, which was installed in two homes. Results indicate that fuzzy analysis enables us to summarise th
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