Results 81 to 90 of about 8,393,375 (379)

Modelling of a double‐scattering proton therapy nozzle using the FLUKA Monte Carlo code and analysis of linear energy transfer in patients treated for prostate cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard, Lars Fredrik Fjæra, Camilla Hanquist Stokkevåg, Perry Johnson, Mark Artz, Nancy Price Mendenhall, Curtis Bryant, Ludvig Paul Muren   +7 more
wiley   +1 more source

A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement [PDF]

arXiv, 2022
Neural networks are ubiquitous in many tasks, but trusting their predictions is an open issue. Uncertainty quantification is required for many applications, and disentangled aleatoric and epistemic uncertainties are best. In this paper, we generalize methods to produce disentangled uncertainties to work with different uncertainty quantification methods,
arxiv  

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
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, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Uncertainty quantification for optical model parameters

Physical Review C, 2017
Although uncertainty quantification has been making its way into nuclear theory, these methods have yet to be explored in the context of reaction theory. For example, it is well known that different parameterizations of the optical potential can result in different cross sections, but these differences have not been systematically studied and ...
Filomena Nunes, A. E. Lovell, Stefan M. Wild, Jason Sarich   +3 more
openaire   +3 more sources

Impact of enhanced leaf model on dose calculation accuracy in single‐isocenter multitarget stereotactic radiosurgery treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Single‐isocenter multitarget (SIMT) radiosurgery has become increasingly popular as advancement in planning and delivery systems have made this approach clinically viable. With targets varying in size and distance from isocenter, SIMT plans are highly complex with dynamic multileaf collimator (MLC) motion.
Hem Moktan, Hongyu Jiang, H. Harold Li, Kenny Guida   +3 more
wiley   +1 more source

Adaptive Sliding Mode Control of Permanent Magnet Direct-Drive Wind Turbine

Tehnički Vjesnik, 2021
The damping coefficient of permanent magnet direct-drive (PMDD) wind turbine is unmeasurable. To solve the problem, this paper attempts to design a sliding mode control (SMC) strategy that adapts to the speed of PMDD wind turbine.
Jie Meng*, Yafei Chen, Shuang Ma
doaj   +1 more source

Parameter Uncertainty of a Watershed Model [PDF]

Canadian Water Resources Journal, 2008
Parameter uncertainty of the Hydrologic Simulation Program Fortran (HSPF) was the focus of this work. The model was calibrated using data from the South Nation watershed located in eastern Ontario. Up to 18 parameters were used in independent model calibrations.
Igor Iskra, Ronald L. Droste
openaire   +2 more sources

Evaluating the use of diagnostic CT with flattening filter free beams for palliative radiotherapy: Dosimetric impact of scanner calibration variability

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut, Lesley A. Buckley, Elsayed S. M. Ali   +2 more
wiley   +1 more source

Wind Turbine Structural Load Reduction by Linear Single Model Predictive Control

IEEE Access, 2020
A new model-based predictive controller (MPC), specially oriented to facilitate its practical implementation, is presented. This controller is devoted to reduce the structural load in the drive train or/and the rotor of a wind turbine.
Rafael Barcena, Tatiana Acosta, Ainhoa Etxebarria, Inigo Kortabarria   +3 more
doaj   +1 more source

Analysis of parameter uncertainty in SWAT model using a Bayesian Box–Cox transformation three-level factorial analysis method: a case of Naryn River Basin

Journal of Water and Climate Change, 2023
Hydrological models are often plagued by substantial uncertainties in model parameters when analyzing water balance, predicting long-time streamflow, and investigating climate-change impact in watershed management.
C. Chen, Y. P. Li, P. P. Gao, G. H. Huang, J. Liu, J. S. Wu   +5 more
doaj   +1 more source