Results 141 to 150 of about 4,220,052 (297)

INTEGRATING MACHINE TRANSLATION INTO MOOCS

EDULEARN proceedings, 2017
This paper presents TraMOOC (Translation for Massive Open Online Courses), a European research project developed with the intention of empowering international learners in the digital multilingual world by providing reliable machine translation (MT) specifically tailored to MOOCs from English into 11 languages (Bulgarian, Chinese, Croatian, Czech ...
Castilho, Sheila, Gaspari, Federico, Moorkens, Joss, Way, Andy   +3 more
openaire   +2 more sources

Long‐term stability analysis of beam shape in a robotic radiosurgery system

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to investigate the long‐term stability of CyberKnife beam profile parameters and assess their compliance with existing quality assurance (QA) guidelines. We evaluated beam profiles in both standard and diagonal planes over 3.5 years post‐installation to detect potential issues and ensure consistent beam quality.
Ryoichi Hinoto, Shiho Kashiyama, Takahisa Eriguchi, Nobuhiro Tsukamoto, Takeji Sakae   +4 more
wiley   +1 more source

Is machine translation post-editing worth the effort? A survey of research into post-editing and effort

JoSTrans: The Journal of Specialised Translation, 2016
Advances in the field of machine translation have recently generated new interest in the use of this technology in various scenarios. This development raises questions over the roles of humans and machines as machine translation appears to be moving from
Maarit Koponen
doaj   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price   +4 more
wiley   +1 more source

Neural Machine Translation

Revista Tradumàtica, 2017
From the outset, automatic translation was dominated by systems based on linguistic information, but then later other approaches opened up the way, such as translation memories and statistical machine translation which draw on parallel language corpora ...
Francisco Casacuberta Nolla, Álvaro Peris Abril   +1 more
doaj   +1 more source

EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke, Loretta Norton, Catherine Duclos, Miriam Han, Kira Dolhan, Geoffrey Laforge, Allison Frantz, Xiaoyu Wang, Hassan Al‐Hayawi, Tianyu Zhang, Raphaël Lavoie, Adrian M. Owen, Stefanie Blain‐Moraes   +12 more
wiley   +1 more source

Translation and Machine Translation

Journal of Natural Language Processing, 2020
Masaru Yamada, Atsushi Fujita, Kyo Kageura   +2 more
openaire   +2 more sources

Time‐Frequency Fingerprint Analysis in SEEG Source‐Space to Identify the Epileptogenic Zone

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This case study highlights the application of seizure fingerprint analysis in the source‐space of stereo‐EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25‐year‐old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures ...
Yash Shashank Vakilna, Deniz Atilgan, Johnson Hampson, Chinmay Chinara, Takfarinas Medani, Richard M. Leahy, Nuria Lacuey, Samden D. Lhatoo, Sandipan Pati, John C. Mosher, Jay R. Gavvala   +10 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

International Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source