Results 21 to 30 of about 1,103,641 (160)

Review on Energy Efficiency Progresses, Technologies and Strategies in the Ceramic Sector Focusing on Waste Heat Recovery

open access: yesEnergies, 2020
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

open access: yesSensors, 2021
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

open access: yesApplied Sciences, 2022
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

open access: yesSensors, 2022
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

open access: yesEnergy Reports, 2022
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

open access: yesNeurosciences, 2023
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]

open access: yesInformation, 2019
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

open access: yesThalassemia Reports, 2011
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]

open access: yesThe Lancet Child & Adolescent Health, 2017
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

Hierarchical Transfer Learning for Multilingual, Multi-Speaker, and Style Transfer DNN-Based TTS on Low-Resource Languages

open access: yesIEEE Access, 2020
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

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