Results 131 to 140 of about 48,244 (304)
Spanning trees in $\mathbb{Z}$-covers of a finite graph and Mahler measures
, 2023 Riccardo Pengo, Daniel Vallières
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Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
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Domination on Minimum Diameter Spanning Tree
, 2019 V. Chandrasekaran, N. Rajasri
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, 2018 Given an undirected connected graph $G(V, E)$, constructing a spanning tree is a well studied problem with polynomial time algorithms. If we restrict the spanning tree to be "regular" as defined below, it turns out that this becomes a very hard problem.
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Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
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Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. [PDF]
IEEE Trans Med Imaging, 2019 Moriconi S +5 more
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The capacitated minimum spanning tree problem [PDF]
, 2013 Héctor Efraín Ruiz y Ruiz
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Magneto‐X Effects in Magnetic Soft Materials and Their Applications
Advanced Science, EarlyView.This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang +5 more
wiley +1 more source
Maximum Spanning Tree Model on Personalized Web Based Collaborative Learning in Web 3.0 [PDF]
, 2012 S. Padma, Ananthi Seshasaayee
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