Results 91 to 100 of about 632,855 (302)

Machine translation evaluation through post-editing measures in audio description [PDF]

open access: yes, 2016
Departament de Traducció i InterpretacióThe number of accessible audiovisual products and the pace at which audiovisual content is made accessible need to be increased, reducing costs whenever possible.
Fernández Torné, Ana
core   +1 more source

Bifurcations and synchronization using an integrated programmable chaotic circuit [PDF]

open access: yes, 1997
This paper presents a CMOS chip which can act as an autonomous stand-alone unit to generate different real-time chaotic behaviors by changing a few external bias currents. In particular, by changing one of these bias currents, the chip provides different
Ceballos Cáceres, Joaquín Francisco   +3 more
core   +1 more source

Video and Text‐Based Supplemental Health Information and Consumer Willingness to Pay for Nutrient‐Enhanced Eggs

open access: yesAgribusiness, EarlyView.
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor   +3 more
wiley   +1 more source

Museum audio description as a foreign language learning tool

open access: yesBabylonia, 2022
This contribution focuses on museum audio description (AD), originally intended as an access tool for people with visual impairments, in order to consider its potential for foreign language learning (FLL).
Chiara Bartolini
doaj  

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

Audio description behaviour : universals, regularities and guidelines [PDF]

open access: yes, 2012
As the ad hoc narrative created for any media representation, dynamic or static, from a guided city tour of Barcelona to a Picasso painting, audio description is considered a form of semiotic translation; hence, some patterns and regularities should be ...
Orero, Pilar
core  

Audio Description and Social Acceptability

open access: yes, 2017
Altres ajuts: ICT/2016 ...
Matamala, Anna, Orero, Pilar
openaire   +4 more sources

Evaluation of Experienced Manipulation Characteristics in Robotic Surgery Using Log Data From the Hinotori Surgical System

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito   +11 more
wiley   +1 more source

Gamifying Audio Description Training

open access: yesJournal of Audiovisual Translation, 2021
State-of-the-art training methods for audio description (AD) are essential in preparing future professionals to meet the demand for accessible media content. Gamification, the application of game elements in non-game contexts, has been gaining increasing scholarly attention in the field of teaching and learning over the past few years. It is considered
openaire   +4 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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