Results 51 to 60 of about 67,823 (266)
Differentiation on spaces of triangulations and optimized triangulations.
Journal of Physics: Conference Series, 2016 We describe a smooth structure, called Frölicher space, on CW complexes and spaces of triangulations. This structure enables differential methods for e.g. minimization of functionnals. As an application, we exhibit how an optimized triangulation can be obtained in order to solve a standard PDE.
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Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
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Parametric Loop Division for 3D Localization in Wireless Sensor Networks
Sensors, 2017 Localization in Wireless Sensor Networks (WSNs) has been an active topic for more than two decades. A variety of algorithms were proposed to improve the localization accuracy.
Tanveer Ahmad +2 more
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Persistent triangulations [PDF]
Journal of Functional Programming, 2001 Triangulations of a surface are of fundamental importance in computational geometry, computer graphics, and engineering and scientific simulations. Triangulations are ordinarily represented as mutable graph structures for which both adding and traversing edges take constant time per operation.
Blelloch, Guy +5 more
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Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
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Review Essay: Does Qualitative Network Analysis Exist?
Forum: Qualitative Social Research, 2007 Social network analysis was formed and established in the 1970s as a way of analyzing systems of social relations. In this review the theoretical-methodological standpoint of social network analysis ("structural analysis") is introduced and the different
Rainer Diaz-Bone
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The Chinese Junk Keying and American Racialization of Chinese
American Studies in Scandinavia, 2019 As the first Chinese wooden boat that ever reached the United States, the Keying, with its 40 Chinese sailors who composed the hitherto largest group of Chinese in America, not only satisfied Americans’ curiosity at Chinese junks and Chinese people, but ...
Tao Zhang
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Theoretical Computer Science, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oswin Aichholzer +8 more
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