Results 71 to 80 of about 21,605 (294)
Capsules Based Chinese Word Segmentation for Ancient Chinese Medical Books
IEEE Access, 2018 Neural network models are popularly used in Chinese word segmentation task. The capsule architecture is proposed recently which has solved some defects of convolutional neural network. In this paper, we first introduce the capsule architecture to Chinese
Si Li +5 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Identifying Capsule Defect Based on an Improved Convolutional Neural Network
, 2020 Capsules are commonly used as containers for most pharmaceuticals, and capsule quality is closely related to human health. Given the actual demand for capsule production, this study proposes a capsule defect detection and recognition method based on an ...
Jiao He +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
Emotion Recognition with Capsule Neural Network [PDF]
Computer Systems Science and Engineering, 2022 Van Loan Trinh +2 more
openaire +1 more source
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett +8 more
wiley +1 more source
DE-CapsNet: A Diverse Enhanced Capsule Network with Disperse Dynamic Routing
Applied Sciences, 2020 Capsule Network (CapsNet) is a methodology with good prospects in visual tasks, since it can keep a stronger relationship of spatial information than Convolutional Neural Networks (CNNs). However, the current Capsule Network do not provide performance as
Bohan Jia, Qiyu Huang
doaj +1 more source
Engineering Reports, 2022 Using the intelligent image recognition method to recognize the reading of the unintelligent manual reading meter is an important approach to expand the sensing means and reduce the cost of transformation of the Industrial Internet of Things. Traditional
Dazhou Li, Jingfei Hou, Wei Gao
doaj +1 more source
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion
, 2023 Few-shot Knowledge Graph Completion (FKGC) has recently attracted significant research interest due to its ability to expand few-shot relation coverage in Knowledge Graphs.
Tang, Xiaoli +6 more
core +1 more source
RedCap: residual encoder-decoder capsule network for holographic image reconstruction [PDF]
, 2020 A capsule network, as an advanced technique in deep learning, is designed to overcome information loss in the pooling operation and internal data representation of a convolutional neural network (CNN).
ZENG, T, Lam, EYM, So, HKH
core +1 more source