Results 21 to 30 of about 93,670 (235)
Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint
Entropy, 2020 Deep learning has achieved many successes in different fields but can sometimes encounter an overfitting problem when there are insufficient amounts of labeled samples.
Fang Dong, Li Liu, Fanzhang Li
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HOMO–LUMO Gaps and Molecular Structures of Polycyclic Aromatic Hydrocarbons in Soot Formation
Frontiers in Mechanical Engineering, 2021 A large number of PAH molecules is collected from recent literature. The HOMO-LUMO gap value of PAHs was computed at the level of B3LYP/6-311+G (d,p). The gap values lie in the range of 0.64–6.59 eV.
Yabei Xu +3 more
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Quantum geometric machine learning for quantum circuits and control
New Journal of Physics, 2020 The application of machine learning techniques to solve problems in quantum control together with established geometric methods for solving optimisation problems leads naturally to an exploration of how machine learning approaches can be used to enhance ...
Elija Perrier, Dacheng Tao, Chris Ferrie
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A Method for Calculating Network System Security Risk Based on a Lie Group
IEEE Access, 2019 Traditionally, network risk assessment uses a statistical computation method. This paper proposes Lie group kinematics to describe the feature space of the attack behavior. A matrix composed of indicators and topologies in a network system is mapped to a
Xiaolin Zhao +4 more
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Path Development Network with Finite-dimensional Lie Group Representation [PDF]
Trans. Mach. Learn. Res., 2022 Signature, lying at the heart of rough path theory, is a central tool for analysing controlled differential equations driven by irregular paths. Recently it has also found extensive applications in machine learning and data science as a mathematically ...
Han Lou, Siran Li, Hao Ni
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Labanotation Generation From Motion Capture Data for Protection of Folk Dance
IEEE Access, 2020 Labanotation is one of the well-known notation systems for the documenting and archiving of human motion. It plays a powerful role in dance protection, choreography analysis, and so on.
Jiaji Wang +4 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
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Recent Progress in Oxide‐Based Na‐Ion Conductors
Advanced Engineering Materials, EarlyView.Recent advances in oxide‐based sodium‐ion conductors are reviewed, focusing on β/β″‐alumina, NASICON‐type compounds, and Na5YSi4O12‐type (N5) silicates, together with emerging perovskite and layered oxides. Improvements in ionic conductivity, compositional tuning, and processing are highlighted.
Bowei Xun +3 more
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