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Published in 2017 at "Molecular Informatics"
DOI: 10.1002/minf.201600162
Abstract: In the present work we describe a new approach, which uses topology of crystals for physicochemical properties prediction using artificial neural networks (ANN). The topologies of 268 crystal structures were determined using ToposPro software. Quotient…
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Keywords:
crystal structure;
neural networks;
structure representation;
approach ... See more keywords
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Published in 2022 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108326
Abstract: Abstract Sequential data clustering is a challenging task in data mining (e.g., motion recognition and video segmentation). For good performance in dealing with complex local correlation and high-dimensional structure of sequential data, representation based methods…
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Keywords:
sequential data;
structure representation;
subspace clustering;
data clustering ... See more keywords
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Published in 2023 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01389
Abstract: Unique structure representation of polymers plays a crucial role in developing models for polymer property prediction and polymer design by data-centric approaches. Currently, monomer and repeating unit (RU) approximations are widely used to represent polymer…
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Keywords:
representation;
property prediction;
structure;
structure representation ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3166284
Abstract: Feature matching, which refers to identifying and then corresponding the same or similar visual pattern from two or more images, is a key technique in any image processing task that requires establishing good correspondences between…
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Keywords:
structure representation;
context;
feature;
structure ... See more keywords