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Technologies for Creating Holographic 3D Showcase Presentations
Кібернетика та комп'ютерні технології, 2022 Introduction. The article considers the aspects of using modern information technologies in the creating of presentations. Technologies for creating holographic 3D showcase presentations using well-known presentation applications are analyzed. One of the
Ihor Tyshchenko
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2D/2D Heterojunctions for Catalysis [PDF]
Advanced Science, 2019 Abstract2D layered materials with atomic thickness have attracted extensive research interest due to their unique physicochemical and electronic properties, which are usually very different from those of their bulk counterparts. Heterojunctions or heterostructures based on ultrathin 2D materials have attracted increasing attention due to the integrated
Juan Su +3 more
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2D materials and van der Waals heterostructures [PDF]
Science, 2016 BACKGROUND Materials by design is an appealing idea that is very hard to realize in practice. Combining the best of different ingredients in one ultimate material is a task for which we currently have no general solution.
K. Novoselov +3 more
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Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 The purpose of this study is to determine whether current video datasets have sufficient data for training very deep convolutional neural networks (CNNs) with spatio-temporal three-dimensional (3D) kernels.
Kensho Hara, Hirokatsu Kataoka, Y. Satoh
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Convolutional 2D Knowledge Graph Embeddings [PDF]
AAAI Conference on Artificial Intelligence, 2017 Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link prediction has focused on shallow, fast models which can scale to large knowledge graphs.
Tim Dettmers +3 more
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Bulletin of the Mineral Research and Exploration, 2020 Gravity data is processed and the problems of the earth are examined. The density of the data can be arranged to solve detail, semi-detail and regional problems.
Ceyhan Ertan Toker
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Distance Sampling Detection Functions: 2D or Not 2D? [PDF]
Biometrics, 2016 SummaryConventional distance sampling (CDS) methods assume that animals are uniformly distributed in the vicinity of lines or points. But when animals move in response to observers before detection, or when lines or points are not located randomly, this assumption may fail.
Borchers, David Louis, Cox, Martin James
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Phosphorene: an unexplored 2D semiconductor with a high hole mobility. [PDF]
ACS Nano, 2014 We introduce the 2D counterpart of layered black phosphorus, which we call phosphorene, as an unexplored p-type semiconducting material. Same as graphene and MoS2, single-layer phosphorene is flexible and can be mechanically exfoliated.
Han Liu +6 more
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CE-Net: Context Encoder Network for 2D Medical Image Segmentation [PDF]
IEEE Transactions on Medical Imaging, 2019 Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation ...
Zaiwang Gu +8 more
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From 2d droplets to 2d Yang-Mills
Nuclear Physics B, 2022 We establish a connection between time evolution of free Fermi droplets and partition function of \emph{generalised} \emph{q}-deformed Yang-Mills theories on Riemann surfaces. Classical phases of $(0+1)$ dimensional unitary matrix models can be characterised by free Fermi droplets in two dimensions.
Arghya Chattopadhyay +3 more
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