Results 41 to 50 of about 27,601,135 (361)
A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity [PDF]
Nature, 2015 Most cancers in humans are large, measuring centimetres in diameter, and composed of many billions of cells. An equivalent mass of normal cells would be highly heterogeneous as a result of the mutations that occur during each cell division.
B. Wacław +5 more
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Rethinking Spatial Dimensions of Vision Transformers [PDF]
IEEE International Conference on Computer Vision, 2021 Vision Transformer (ViT) extends the application range of transformers from language processing to computer vision tasks as being an alternative architecture against the existing convolutional neural networks (CNN).
Byeongho Heo +5 more
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OENO One, 2018 Aims: This work focuses on the study of the intra- and inter-annual Temporal Stability of Within-Field Variability (TSWFV) of Total Soluble Solids (TSS) as an estimate of grape maturity. Methods and results: The experiment was carried out between 2009
Nicolas Verdugo-Vásquez +5 more
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, 1999 The basic idea underlying the proposed approach to spatial-temporal modeling is to combine, at the different levels, the potential of various techniques and to exploit their performance. A three level procedure is used. Firstly low level polynomial interpolation removes a general trend; then finite element method follows to match local variations.
MUSSIO L, NOCERA, Rossella, POLI D.
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Modeling the Spatial Reach of the LFP [PDF]
Neuron, 2011 The local field potential (LFP) reflects activity of many neurons in the vicinity of the recording electrode and is therefore useful for studying local network dynamics. Much of the nature of the LFP is, however, still unknown. There are, for instance, contradicting reports on the spatial extent of the region generating the LFP. Here, we use a detailed
Lindén, Henrik +6 more
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Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting [PDF]
Knowledge Discovery and Data Mining, 2021 Spatial-temporal forecasting has attracted tremendous attention in a wide range of applications, and traffic flow prediction is a canonical and typical example.
Zheng Fang +3 more
semanticscholar +1 more source
Modeling spatial patterns of shapes [PDF]
2008 15th IEEE International Conference on Image Processing, 2008 We introduce a framework for modeling spatial patterns of shapes formed by multiple objects in an image. Our approach is graph-based where each node denotes an object and attributes of a node consist of that object's shape, position, orientation, and scale.
Anuj Srivastava +2 more
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Environment and Natural Resources Journal, 2021 Spatial modeling is an analytical procedure that simulates real-world conditions using remote sensing and geographic information systems. The field data in this study were collected from 318 survey plots in the area surrounding highway 304 in the Dong
Paanwaris Paansri +4 more
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Weak equilibrium in a spatial model [PDF]
International Journal of Game Theory, 2010 Spatial models of two-player competition in spaces with more than one dimension almost never have pure-strategy Nash equilibria, and the study of the equilibrium positions, if they exist, yields a disappointing result: the two players must choose the same position to achieve equilibrium.
Abellanas Oar, Manuel +3 more
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ASM Science Journal, 2021 The urbanisation process cause changes to the physical and non-physical environment to developing a town and Urban Quality of Life (UQoL). Kuala Terengganu is experiencing rapid urbanisation process over the past three decades. The main objective of this
Mohd Khairul Amri Kamarudin
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