A CROWDSOURCING-BASED FRAMEWORK FOR THE DEVELOPMENT AND VALIDATION OF MACHINE READABLE PARALLEL CORPUS FOR SIGN LANGUAGES

A Crowdsourcing-Based Framework for the Development and Validation of Machine Readable Parallel Corpus for Sign Languages

Sign languages are used by the deaf and mute community of the world.These are gesture based languages where the subjects use hands and facial expressions to perform different gestures.There are hundreds of different sign languages in the world.Furthermore, like natural languages, there exist different dialects for many sign languages.In order to fa

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A volcanic-hazard demonstration exercise to assess and mitigate the impacts of volcanic ash clouds on civil and military aviation

Volcanic eruptions comprise an important airborne hazard for aviation.Although significant events are rare, e.g.compared to the threat of thunderstorms, they have a very flex 4 heartworm test high impact.The current state of tools and abilities to mitigate aviation hazards associated with an assumed volcanic cloud was tested within an international

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LMHistNet: Levenberg–Marquardt Based Deep Neural Network for Classification of Breast Cancer Histopathological Images

Breast cancer is a deadly disease commonly affecting women.One method to avoid death from breast cancer is to obtain a diagnosis early.Breast cancer detection is a significant area that benefits from the technological advancements in artificial intelligence.A deep neural network architecture for the classification of microscopic images of breast tu

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