Results 21 to 30 of about 98,441 (260)
Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks
IEEE Access, 2019 An information dissemination network (i.e., a cascade) with a dynamic graph structure is formed when a novel idea or message spreads from person to person.
Zhenhua Huang, Zhenyu Wang, Rui Zhang
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Validation of Numerical Computations and Turbulence Models Combinations for Gas Turbine Cascade Blade Flow [PDF]
Engineering and Technology Journal, 2011 The accuracy of computer codes for turbo-machinery turbulent flow field calculations relies strongly on the type and behavior of the turbulence model used in the computations.
Assim Yousif Hameed, Hakem Tarteb
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Toward Order-of-Magnitude Cascade Prediction [PDF]
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015 4 pages, 15 figures, ASONAM 2015 poster ...
Ruocheng Guo +3 more
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CNNcon: improved protein contact maps prediction using cascaded neural networks. [PDF]
PLoS ONE, 2013 BACKGROUNDS: Despite continuing progress in X-ray crystallography and high-field NMR spectroscopy for determination of three-dimensional protein structures, the number of unsolved and newly discovered sequences grows much faster than that of determined ...
Wang Ding +5 more
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LGBMDF: A cascade forest framework with LightGBM for predicting drug-target interactions
Frontiers in Microbiology, 2023 Prediction of drug-target interactions (DTIs) plays an important role in drug development. However, traditional laboratory methods to determine DTIs require a lot of time and capital costs.
Yu Peng +4 more
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Structured Prediction Cascades
CoRR, 2012 Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference in the exponentially-sized output spaces such models require. We formulate and develop the Structured Prediction Cascade architecture: a sequence of increasingly complex models
David J. Weiss +2 more
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Cascade Forest-Based Model for Prediction of RNA Velocity
Molecules, 2022 In recent years, single-cell RNA sequencing technology (scRNA-seq) has developed rapidly and has been widely used in biological and medical research, such as in expression heterogeneity and transcriptome dynamics of single cells. The investigation of RNA
Zhiliang Zeng +4 more
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Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks
CoRR, 2020 Predicting the flow of information in dynamic social environments is relevant to many areas of the contemporary society, from disseminating health care messages to meme tracking. While predicting the growth of information cascades has been successfully addressed in diverse social platforms, predicting the temporal and topological structure of ...
Sameera Horawalavithana +2 more
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Energies, 2022 Accurate wind speed prediction is a premise that guarantees the reliable operation of the power grid. This study presents a combined prediction model that integrates data preprocessing, cascade optimization, and deep learning prediction to improve ...
Kui Yang +5 more
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The theoretical development of the cascade model excimer laser irradiation on the organ of vision
Oftalʹmologiâ, 2014 Authors analyzed the baseline (Pershin K. B., 2000) and advanced (trubilin V. N Pozharitskii M. D., 2011) theoretical model of the cascade excimer laser effects on eyesight.the analysis indicates a lack of elaboration of issues related to the cascade of «
V. N. Trubilin +3 more
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