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Titlebook: Virtual, Augmented and Mixed Reality; 16th International C Jessie Y. C. Chen,Gino Fragomeni Conference proceedings 2024 The Editor(s) (if a

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樓主: legerdemain
21#
發(fā)表于 2025-3-25 05:33:56 | 只看該作者
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發(fā)表于 2025-3-25 10:02:56 | 只看該作者
Virtual, Augmented and Mixed Reality978-3-031-61044-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
23#
發(fā)表于 2025-3-25 13:42:10 | 只看該作者
Michiko Inoue,Shouta Hioki,Fuyuko Iwasaki,Shunsuke Yoneda,Masashi Nishiyama ganisms. It is not surprising, therefore, that a number of mole- cular me anisms have developed together with increasing biological complexi during evolution. 978-3-642-70666-0978-3-642-70664-6Series ISSN 0172-6625
24#
發(fā)表于 2025-3-25 19:48:25 | 只看該作者
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發(fā)表于 2025-3-25 22:46:21 | 只看該作者
in boundary extraction within rock images. We further investigate the potential of CA-based edge detection coupled with CNNs for rock image classification. Precisely identifying grain boundaries enhances the efficiency of classification techniques, reducing the need for exhaustive iterations. Compar
26#
發(fā)表于 2025-3-26 02:11:01 | 只看該作者
Priyanka Bharti,Sanika Bhide,Chirag SavaliyaV, should be small enough to allow us to say we are observing the flow at a point, but large enough to make a statistical average of the microscopic events meaningful. When we write statements pertaining to the conservation of mass, momentum and energy for this element, the result will be partial di
27#
發(fā)表于 2025-3-26 05:49:04 | 只看該作者
HsinChiao Chan,Yinghsiu Huanglysis, due to Lepri et al.. The random matrix approximation allows to obtain reasonable estimates of the LCE when chaos is well developed and correlations are weak: some examples of analytical calculation of scaling laws in the perturbation parameter for random Verlet matrices are discussed in Secti
28#
發(fā)表于 2025-3-26 11:39:08 | 只看該作者
Jamie W. Lee,Kwang Leeof particles in an interval of length |(.)(1 - 2.)|.. The second result is a representation of the position X. of a tagged particle of the system that allows us to write .. = .. + .., where .. is a Poisson process of parameter (1 - .)(. - .) and .. is a random variable whose absolute value is stocha
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發(fā)表于 2025-3-26 15:07:36 | 只看該作者
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