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Titlebook: Advanced Computing; 12th International C Deepak Garg,V. A. Narayana,Suneet Kumar Gupta Conference proceedings 2023 Springer Nature Switzerl

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發(fā)表于 2025-3-23 13:44:23 | 只看該作者
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發(fā)表于 2025-3-23 23:07:34 | 只看該作者
Vergleichende Politikwissenschafttasets between English and non-english languages. (2) Hash2vec has been used for making labeled datasets called Semantic-tagged tokens and (3) Apply Long Short Term Memory approach with hash2vec model have been used for representing the document and predict the rank of disasters based tourism spots
15#
發(fā)表于 2025-3-24 05:28:00 | 只看該作者
Metazoen als Krankheitserreger,ish and Vietnamese and evaluated using the BLEU metric. The combination model between the Vision Transformer and the bidirectional RoBERTa model outperforms the existing image captioning models, including VirTex and CPTR models. The BLEU-1, BLEU-2, BLEU-3, and BLEU-4 scores of our best image caption
16#
發(fā)表于 2025-3-24 09:08:34 | 只看該作者
Allgemeine Pathologie der Virusinfektionen,t religiosity. The model analyzed religiosity from the view of online support, behaviors, social media expectations, and the Big Five personality traits presenting its importance in behavior studies on the social media.
17#
發(fā)表于 2025-3-24 11:47:33 | 只看該作者
https://doi.org/10.34157/978-3-648-16923-0 than any other method which is proposed before, to estimate using the similar test dataset. This method generates non-real crack images that are nearly similar to real images. That’s why solving the issue of lacking image datasets of cracks in specific concrete surface sections is not an issue. And
18#
發(fā)表于 2025-3-24 15:56:23 | 只看該作者
https://doi.org/10.1007/978-3-663-08271-2ual variables affected students’ self-answered mental health and how these impacts vary by depression, anxiety, and stress. Through this, we come to know about the main factors which lead to such issues and in future can additionally implement methods to avert it. We have used various Machine Learni
19#
發(fā)表于 2025-3-24 22:05:35 | 只看該作者
Heiko Duin,Günter Symanzik,Ute Claussening a doctor. By using multiple algorithms response, we can give precise results when compared to using a single algorithm of machine learning technology. The proposed model attained good accuracy in discovering the correct disease based on the symptoms provided to the model.
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發(fā)表于 2025-3-24 23:57:49 | 只看該作者
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