Results 101 to 110 of about 418,591 (309)

Systematic Review of English/Arabic Machine Translation Postediting: Implications for AI Application in Translation Research and Pedagogy

open access: yesInformatics
The twenty-first century has witnessed an extensive evolution in translation practice thanks to the accelerated progress in machine translation tools and software.
Lamis Ismail Omar   +1 more
doaj   +1 more source

Patient‐specific adaptive planning margin for whole bladder radiation therapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Whole bladder irradiation is an organ preservation treatment approach for muscle‐invasive bladder cancer (MIBC). Conventional planning margins, typically 15–20 mm, increase normal tissue toxicity and limit possible dose escalation.
Zhexuan Zhang   +5 more
wiley   +1 more source

INTEGRATING MACHINE TRANSLATION INTO MOOCS

open access: yesEDULEARN 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   +3 more
openaire   +3 more sources

AAPM‐RSS Medical Physics Practice Guideline 9.b: SRS‐SBRT

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract The purpose of this Medical Physics Practice Guideline (MPPG) is to describe the minimum level of medical physics support deemed prudent for the practice of linear‐accelerator, photon‐based (linac) stereotactic radiosurgery (SRS), and stereotactic body radiation therapy (SBRT) services.
Eileen Cirino   +9 more
wiley   +1 more source

Machine Translation in Indian Languages: Challenges and Resolution

open access: yesJournal of Intelligent Systems, 2019
English to Indian language machine translation poses the challenge of structural and morphological divergence. This paper describes English to Indian language statistical machine translation using preordering and suffix separation.
Patel Raj Nath   +2 more
doaj   +1 more source

English to Kurdish Rule-based Machine Translation System

open access: yesUHD Journal of Science and Technology, 2018
In this paper we present a machine translation system developed to translate simple English sentences to Kurdish. The system is based on the (apertuim) free open source engine that provides the environment and the required tools to develop a machine ...
kanaan mikael Kaka-Khan
doaj   +1 more source

High‐precision localization of radiation isocenter using Winston‐Lutz test: Impact of collimator angle, phantom position, and field size

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to evaluate the impact of collimator angle, ball bearing (BB) phantom position, and field size on the accuracy of Winston‐Lutz (WL) test–derived radiation isocenters. Methods WL tests were performed on four TrueBeam linear accelerators.
Weiliang Du
wiley   +1 more source

Commissioning of a motion management system for a 1.5T Elekta Unity MR‐Linac: A single institution experience

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work describes a single institution experience of commissioning a real‐time target tracking and beam control system, known as comprehensive motion management, for a 1.5 T Elekta MR‐Linac. Methods Anatomical tracking and radiation beam control were tested using the MRI4D Quasar motion phantom.
Blake R Smith   +2 more
wiley   +1 more source

The Challenges of Using Machine Translation in Rendering Arabic Texts into English

open access: yesVestnik za Tuje Jezike
Regardless of recent arguments about the wide-scale capabilities of artificial intelligence introduced into machine translation systems, some professionals still underestimate machine translation.
Haithm Zinhom
doaj   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang   +5 more
wiley   +1 more source

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