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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Improving Insulators Detection Accuracy via Image Enhancement Techniques: Case of Indigenous Aerial Image Dataset

The challenging task of insulator monitoring through aerial images is addressed in high voltage transmission Ball - Field Equipment - Training Aids Team network and highlights the limitations of traditional human patrolling with emphasize on utilization of unmanned aerial vehicles UAVs utilizing machine learning algorithms.This research has been ac

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Estimation of an elite road cyclist mechanical power and energy cost wearing standard and aero helmets: an analytical procedure and numerical simulations approach

The aim of this study was to RAW WHEAT GERM assess and compare by numerical simulations and analytical models the resistive forces, mechanical power and energy cost using two different types of road helmets (standard vs aero road helmet).An elite cyclist was scanned on the racing bicycle, wearing his competition gear and helmets.Numerical simulatio

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