A ROBUST ENSEMBLE MODEL FOR SPOKEN LANGUAGE RECOGNITION

The identity of a language being spoken has been tackled over the years via Adjustable Base statistical models on audio samples.A drawback of these approaches is the unavailability of phonetically transcribed data for all languages.This work proposes an approach based on image classification that utilized image representations of audio samples.Our

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COMPULS: design of a multicenter phenotypic, cognitive, genetic, and magnetic resonance imaging study in children with compulsive syndromes

Abstract Background Compulsivity, the closely linked trait impulsivity and addictive behaviour are associated with several neurodevelopmental disorders, including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive compulsive disorder (OCD).All three disorders show impaired fronto-striatal functioning, whi

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Status of pesticide management in the practice of vector control: a global survey in countries at risk of malaria or other major vector-borne diseases

Abstract Background It is critical that vector control pesticides are used for their acceptable purpose without causing adverse effects on health and the environment.This paper provides a global overview of the current status of pesticides management in the practice of vector control.Methods A questionnaire was distributed to WHO member states and

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