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 samsu

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EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics

Abstract DNA methylation analysis based on supervised machine learning algorithms with static reference data, allowing diagnostic tumour typing with unprecedented precision, has quickly become a new standard of care.Whereas model opla genome-wide diagnostic methylation profiling is mostly performed on microarrays, an increasing number of institutio

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Combining Rigorous Requirements Specifications with Low-Code Platforms to Rapid Development Software Business Applications

Low-code development platforms have gained popularity as an effective solution to address urgent market demands for software applications.These platforms have often overcome challenges faced by traditional software development processes, including requirements engineering processes, as they tend to incorporate the requirements in their prototyping

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