Results 171 to 180 of about 4,452,749 (365)
Design and validation of a novel dosimetry phantom for motion management audits
Abstract Background We present a novel phantom design for conducting end‐to‐end dosimetry audits for respiratory motion management of two anatomical treatment sites. The design enables radiochromic film measurements of the dose administered to the target throughout the respiratory cycle (motion‐included) and the dose delivered to the time‐averaged ...
Alex Burton+5 more
wiley +1 more source
The Challenges of Using Machine Translation in Rendering Arabic Texts into English
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
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+1 more
doaj +1 more source
Purpose Linear accelerator (LINAC)‐based single‐isocenter multi‐target (SIMT) treatment has streamlined the cranial stereotactic radiosurgery (SRS) workflow. Though efficient, SIMT delivery adds additional challenges that should be considered, including increased sensitivity to rotational errors for off‐isocenter targets.
Yohan A. Walter+4 more
wiley +1 more source
Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol
Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge+9 more
wiley +1 more source
Machine Translation Indonesian Bengkulu Malay Using Neural Machine Translation-LSTM
The machine translator is an application in Natural Language Processing (NLP) that focuses on translating between languages. Several previous research have used Statistical Machine Translation (SMT) with a parallel corpus of Indonesian and Bengkulu Malay
Bella Okta Sari Miranda+2 more
doaj +1 more source
Three Levels of Linguistic Analysis in Machine Translation [PDF]
Michael Zarechnak
openalex +1 more source
Improving the Performance of English-Tamil Statistical Machine Translation System using Source-Side Pre-Processing [PDF]
Machine Translation is one of the major oldest and the most active research area in Natural Language Processing. Currently, Statistical Machine Translation (SMT) dominates the Machine Translation research. Statistical Machine Translation is an approach to Machine Translation which uses models to learn translation patterns directly from data, and ...
arxiv
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+2 more
wiley +1 more source
The role of USAF research and development in information retrieval and machine translation [PDF]
Robert F. Samson
openalex +1 more source