Results 21 to 30 of about 977,276 (334)

Head Capsule Widths as an Indicator of the Larval Instar of Codling Moth (Lepidoptera: Olethreutidae) [PDF]

open access: yes, 2017
Head capsule width was a reliable indicator of larval instar in a strain of Michigan codling moths, Cydia pomonella. Head capsules were 0.33, 0.50, 0.82, 1.18 and 1.55 mm in width from first to fifth instar respectively.
Weitzner, Peter, Whalon, Mark E
core   +3 more sources

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization [PDF]

open access: yesNorth American Chapter of the Association for Computational Linguistics, 2018
In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object). Our CapsE represents each triple as a 3-column matrix where each column vector represents the embedding of
D. Q. Nguyen   +4 more
semanticscholar   +1 more source

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2019
Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes.
Wei Zhao   +4 more
semanticscholar   +1 more source

The feasibility of wireless capsule endoscopy in detecting small intestinal pathology in children under the age of 8 years: a multicentre European study. [PDF]

open access: yes, 2009
Objective: To systematically evaluate the feasibility and methodology to carry out wireless capsule endoscopy (WCE) in children
Bufler, Philip   +8 more
core   +3 more sources

Capsule Networks for Hyperspectral Image Classification

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2019
Convolutional neural networks (CNNs) have recently exhibited an excellent performance in hyperspectral image classification tasks. However, the straightforward CNN-based network architecture still finds obstacles when effectively exploiting the ...
Mercedes Eugenia Paoletti   +6 more
semanticscholar   +1 more source

Deletion of the Zinc Transporter Lipoprotein AdcAII Causes Hyperencapsulation of Streptococcus pneumoniae Associated with Distinct Alleles of the Type I Restriction-Modification System. [PDF]

open access: yes, 2020
The capsule is the dominant Streptococcus pneumoniae virulence factor, yet how variation in capsule thickness is regulated is poorly understood. Here, we describe an unexpected relationship between mutation of adcAII, which encodes a zinc uptake ...
Arioli   +51 more
core   +4 more sources

A systematic analysis of hypermucoviscosity and capsule reveals distinct and overlapping genes that impact Klebsiella pneumoniae fitness

open access: yesbioRxiv, 2020
Hypervirulent K. pneumoniae (hvKp) is a distinct pathotype that causes invasive community-acquired infections in healthy individuals. Hypermucoviscosity (hmv) is a major phenotype associated with hvKp characterized by copious capsule production and poor ...
Laura A. Mike   +6 more
semanticscholar   +1 more source

The design of a source to simulate the gamma-ray spectrum emitted by a radioisotope thermoelectric generator [PDF]

open access: yes, 1972
A simulated source was designed to duplicate the gamma spectrum of a uniform cylindrical 2200-watt Pu02 radioisotope thermoelectric generator containing 81% Pu-238 and 1.2 ppm Pu-236.
Reier, M.
core   +2 more sources

Motor recovery following capsular stroke [PDF]

open access: yes, 1993
The functional anatomy of motor recovery was studied by assessing motor function quantitatively in 23 patients following capsular or striatocapsular stroke.
Danek, Adrian   +3 more
core   +1 more source

Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images

open access: yesItalian National Conference on Sensors, 2020
An entity’s existence in an image can be depicted by the activity instantiation vector from a group of neurons (called capsule). Recently, multi-layered capsules, called CapsNet, have proven to be state-of-the-art for image classification tasks.
Ansh Mittal   +6 more
semanticscholar   +1 more source

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