Results 11 to 20 of about 604,460 (370)

Kvasir-Capsule, a video capsule endoscopy dataset [PDF]

open access: yesScientific Data, 2021
AbstractArtificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work demonstrates the promising benefits of AI-based computer-assisted diagnosis systems for VCE.
Smedsrud, Pia H.   +21 more
openaire   +9 more sources

Insights on Single-Dose Espresso Coffee Capsules’ Volatile Profile: From Ground Powder Volatiles to Prediction of Espresso Brew Aroma Properties

open access: yesFoods, 2021
Single-dose coffee capsules have revolutionized the coffee market, fueling espresso coffee popularity and offering access to a wide selection of coffee blends.
Guido R. Lopes   +9 more
doaj   +1 more source

Impact of Rejuvenator-Modified Mastic on Asphalt Mixture Stiffness: Meso-Scale Discrete Element Method Approach

open access: yesBuildings, 2023
Encapsulated rejuvenators embedded in asphalt mixtures are a promising technology to extend the service life of asphalt pavements. However, their effects on the asphalt mixture’s performance still need to be properly understood.
Gustavo Câmara   +2 more
doaj   +1 more source

Attention Routing Between Capsules [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
In this paper, we propose a new capsule network architecture called Attention Routing CapsuleNet (AR CapsNet). We replace the dynamic routing and squash activation function of the capsule network with dynamic routing (CapsuleNet) with the attention ...
Jaewoong Choi   +3 more
semanticscholar   +1 more source

Spectrofluorimetric determination of quercetin in pharmaceutical dosage forms

open access: yesMacedonian Journal of Chemistry and Chemical Engineering, 2014
The simple, accurate and precise method based on fluorescence properties of aluminium (III)–quercetin complex, for the determination of quercetin has been developed and validated.
Leposava Pavun   +5 more
doaj   +1 more source

Functional Capsules via Subcomponent Self-Assembly.

open access: yesAccounts of Chemical Research, 2018
Coordination-driven self-assembly can produce large, symmetrical, hollow cages that are synthetically easy to access. The functions provided by these aesthetically attractive structures provide a driving force for their development, enabling practical ...
Dawei Zhang   +2 more
semanticscholar   +1 more source

DUOCAP: THE CAPSULE IN CAPSULE TECHNOLOGY [PDF]

open access: yesInternational Research Journal of Pharmacy, 2015
In this article, the study of never technology of capsule in solid dosage form among all in pharmaceutical dosage forms. This review includes newer trends related to capsule shell, capsule fill mate rial, capsule sealing technique and different capsule systems to achieve modified drug release, encapsulation of various kind of materials and for modified
Vipul P Patel   +2 more
openaire   +1 more source

Hydrogen-bonded multilayer thin films and capsules based on poly(2-n-propyl-2-oxazoline) and tannic acid : investigation on intermolecular forces, stability, and permeability [PDF]

open access: yes, 2019
In recent years, hydrogen-bonded multilayer thin films and capsules based on neutral and nontoxic building blocks have been receiving interest for the design of stimuli-responsive drug delivery systems and for the preparation of thin-film coatings ...
Hoogenboom, Richard   +5 more
core   +1 more source

Menthol-enhanced cytotoxicity of cigarette smoke demonstrated in two bioassay models

open access: yesTobacco Induced Diseases, 2013
Background Cigarette smoke is harmful to human health at both cellular and genetic levels. Recently, a unique bioassay for smoke cytotoxicity using air pollution-sensitive plant cells (tobacco) has been proposed.
Atsuko Noriyasu   +7 more
doaj   +1 more source

Sentiment Analysis by Capsules

open access: yesThe Web Conference, 2018
In this paper, we propose RNN-Capsule, a capsule model based on Recurrent Neural Network (RNN) for sentiment analysis. For a given problem, one capsule is built for each sentiment category e.g., 'positive' and 'negative'. Each capsule has an attribute, a
Yequan Wang   +4 more
semanticscholar   +1 more source

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