Results 21 to 30 of about 1,103,641 (160)
Thermal processes represent a considerable part of the total energy consumption in manufacturing industry, in sectors such as steel, aluminium, cement, ceramic and glass, among others.
Miguel Castro Oliveira +3 more
doaj +1 more source
Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition
With the rapid development of speech assistants, adapting server-intended automatic speech recognition (ASR) solutions to a direct device has become crucial.
Aleksandr Laptev +5 more
doaj +1 more source
Boosting the Transformer with the BERT Supervision in Low-Resource Machine Translation
Previous works trained the Transformer and its variants end-to-end and achieved remarkable translation performance when there are huge parallel sentences available.
Rong Yan +4 more
doaj +1 more source
Improving Hybrid CTC/Attention Architecture for Agglutinative Language Speech Recognition
Unlike the traditional model, the end-to-end (E2E) ASR model does not require speech information such as a pronunciation dictionary, and its system is built through a single neural network and obtains performance comparable to that of traditional methods.
Zeyu Ren +4 more
doaj +1 more source
Life cycle energy and carbon emissions of colorants extraction from Hibiscus sabdariffa
The food industry is interested in new plant-based, non-toxic, food additives to substitute synthetic ones. Aiming to support the development of H. sabdariffa bio-colorant extracts at an early stage, a cradle-to-gate life cycle assessment (LCA) approach ...
Helena Monteiro, Bruna Moura
doaj +1 more source
Autism services in low-resource areas
To explore access to intervention services for children with autism spectrum disorder (ASD) in Jordan.We used prospective cross sectional design and survey methodology to collect information from the parents of a convenient sample of children with ASD aged 2.5-17 years and who attended pediatric neurology clinics in 3 different university affiliated ...
Masri, Amira T. +9 more
openaire +2 more sources
Terminology Translation in Low-Resource Scenarios [PDF]
Term translation quality in machine translation (MT), which is usually measured by domain experts, is a time-consuming and expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems often need to be updated for many reasons (e.g., availability of new training data, leading MT techniques).
Rejwanul Haque +2 more
openaire +5 more sources
Transplantation in Low Resource Countries
Thalassemia major (TM) is the most common deadly genetic disorder, a major cause of chronic non-infectious morbidity and financial burden in many low and middle-income regions. In these settings few children reach adulthood because proper long-term supportive care is seldom available.
Faulkner, L. +6 more
openaire +3 more sources
Measuring neurodevelopment in low-resource settings [PDF]
The burden of neurodevelopmental, cognitive, behavioural, and mental health disorders in children will continue to rise as infant and child mortality is reduced with improvements in medical care.1 In recognition of this epidemiological transition, the international community is shifting the focus from child survival to so-called child thrival, with the
Gladstone, M +4 more
openaire +4 more sources
This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages. DNN-based system typically requires a large amount of training data.
Kurniawati Azizah +2 more
doaj +1 more source

