Results 91 to 100 of about 156,643 (272)
, 2018 Capsule Networks have shown encouraging results on \textit{defacto} benchmark computer vision datasets such as MNIST, CIFAR and smallNORB. Although, they are yet to be tested on tasks where (1) the entities detected inherently have more complex internal representations and (2) there are very few instances per class to learn from and (3) where point ...
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Capsule Networks With Residual Pose Routing
IEEE Transactions on Neural Networks and Learning SystemsCapsule networks (CapsNets) have been known difficult to develop a deeper architecture, which is desirable for high performance in the deep learning era, due to the complex capsule routing algorithms. In this article, we present a simple yet effective capsule routing algorithm, which is presented by a residual pose routing.
Yi Liu +4 more
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Advanced Engineering Materials, EarlyView.Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source
VideoCapsuleNet: A Simplified Network for Action Detection
, 2018 The recent advances in Deep Convolutional Neural Networks (DCNNs) have shown extremely good results for video human action classification, however, action detection is still a challenging problem.
Duarte, Kevin +2 more
core
Advanced Engineering Materials, EarlyView.In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart +3 more
wiley +1 more source
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
, 2018 In this paper, we formalize the idea behind capsule nets of using a capsule vector rather than a neuron activation to predict the label of samples.
Edraki, Marzieh +2 more
core
Wasserstein Routed Capsule Networks
, 2020 8 pages, 3 ...
Fuchs, Alexander, Pernkopf, Franz
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Advanced Engineering Materials, EarlyView.A novel, temperature‐controlled post‐consolidation unit is developed to test its potential to improve the melt impregnation process used to manufacture continuous fiber‐reinforced filaments for additive manufacturing of high‐performance thermoplastics.
Daniel Beermann +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Screen‐Printed Flexible Piezoelectric Force Sensor Array with Electromagnetic Interference Shielding
Advanced Engineering Materials, EarlyView.This article introduces a flexible screen‐printed piezoelectric sensor array designed for low‐frequency healthcare applications such as tactile sensing and cardiovascular monitoring. The device integrates interface electronics enabling the simultaneous acquisition of up to 128 signals, along with flexible EMI shielding that significantly reduces noise ...
Joseph Faudou +6 more
wiley +1 more source