Results 161 to 170 of about 4,478,538 (365)
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
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
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
The effect of multi‐leaf collimator leaf width on VMAT treatment plan quality
Abstract Background The advent of volumetric modulated arc therapy (VMAT) in radiotherapy has made it one of the most commonly used techniques in clinical practice. VMAT is the delivery of intensity modulated radiation therapy (IMRT) while the gantry is in motion, and existing literature has shown it has decreased treatment delivery times and the ...
Gregory Sadharanu Peiris+3 more
wiley +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 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
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
Three Levels of Linguistic Analysis in Machine Translation [PDF]
Michael Zarechnak
openalex +1 more source
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 role of USAF research and development in information retrieval and machine translation [PDF]
Robert F. Samson
openalex +1 more source